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Job Summary We are looking for a skilled Informatica IDMC (Intelligent Data Management Cloud) Developer with 2–5 years of experience in data integration, ETL development, and cloud-based data solutions. The candidate should have hands-on experience with Informatica Cloud services and a strong understanding of data engineering concepts. Key Responsibilities Develop and manage ETL/ELT pipelines using Informatica IDMC (IICS) Design and implement data integration and data migration solutions Work with Cloud Data Integration (CDI) and Application Integration (CAI) Extract, transform, and load data from various sources (Databases, APIs, flat files, cloud storage) Ensure data quality, validation, and governance standards Optimize ETL jobs for performance and scalability Collaborate with data architects, analysts, and business teams Troubleshoot and resolve ETL and data pipeline issues Maintain technical documentation and best practices Support production deployments and data operations Requir

5–9 years of experience in Informatica Administration + Hadoop Administration. Strong hands-on experience with: Informatica BDM / Big Data Edition (BDE) Hadoop ecosystem (HDFS, YARN, Hive) Experience managing Informatica domains, services, and repositories. Strong knowledge of ETL concepts and big data processing frameworks. Hands-on experience with Linux/Unix systems and shell scripting. Knowledge of cluster management tools (Cloudera, Hortonworks, Ambari). Experience in performance tuning and troubleshooting. Proficiency in SQL and HiveQL Experience with Spark or other big data processing frameworks. Knowledge of Kafka or streaming technologies. Familiarity with cloud platforms (AWS EMR, Azure HDInsight, GCP Dataproc). Experience with CI/CD tools and DevOps practices. Exposure to Informatica PowerCenter / IICS. Understanding of data lake and lakehouse architecture. Knowledge of monitoring tools (Grafana, Splunk, ELK).

We are looking for an experienced Python PySpark Developer to design, develop, and optimize large-scale data processing systems. The ideal candidate will work on big data platforms, build scalable ETL pipelines, and process high-volume datasets using Spark and Python. Key Responsibilities Data Engineering & Development Develop and maintain data pipelines using Python and PySpark Process and transform large datasets in distributed environments Build scalable ETL/ELT workflows Big Data Processing Work with Apache Spark (PySpark) for batch and real-time processing Optimize Spark jobs for performance and efficiency Handle structured and unstructured data Data Integration Ingest data from multiple sources: Databases (SQL/NoSQL) APIs Files (CSV, JSON, Parquet) Integrate with data platforms like: Hadoop (HDFS) Cloud (AWS, Azure, GCP) Performance Optimization Tune Spark jobs (partitioning, caching, parallelism) Optimize SQL queries and transformations Improve data processing efficiency and cos

Azure Databricks Platform Administration Administer and manage Azure Databricks workspaces, clusters, and jobs Configure and maintain Databricks environments (Dev, QA, Prod) Monitor cluster performance, job execution, and system health Manage notebooks, libraries, and dependencies Perform upgrades, patches, and platform maintenance Cluster Management & Optimization Design and manage cluster configurations (auto-scaling, instance types, pools) Optimize job performance, resource utilization, and execution times Troubleshoot cluster failures, memory issues, and job bottlenecks Implement best practices for Spark performance tuning Security & Governance Implement and enforce data security and access controls (RBAC, ACLs, IAM) Manage workspace security, secrets (Key Vault integration), and credential passthrough Ensure compliance with enterprise security and governance policies Implement data governance, auditing, and lineage tracking Azure Cloud Integration Integrate Databricks with Azure s

Key Responsibilities Design, deploy, and manage applications on AWS cloud platform Develop and maintain scalable, secure, and highly available systems Work with core AWS services such as EC2, S3, Lambda, RDS, VPC Automate infrastructure using Infrastructure as Code (IaC) tools Monitor system performance and ensure cost optimization Implement security best practices and compliance policies Collaborate with development and DevOps teams for deployments Troubleshoot cloud infrastructure and application issues Support CI/CD pipeline implementation and maintenance Perform system upgrades, patches, and backups Preferred Skills (Nice-to-Have) AWS certifications (AWS Certified Solutions Architect / Developer / SysOps) Experience with containerization (Docker, Kubernetes, EKS) Exposure to serverless architecture (Lambda, API Gateway) Knowledge of DevOps practices and tools Experience with cloud security and compliance frameworks Familiarity with data services (Redshift, Glue, Athena) Experience

Provide L2/L3 production support for Informatica ETL workflows and Big Data pipelines. Monitor and support Hadoop ecosystem components (HDFS, Hive, YARN, etc.). Handle incident management, root cause analysis (RCA), and issue resolution within SLA timelines. Monitor batch jobs, workflows, and data loads to ensure smooth operations. Troubleshoot issues related to Informatica mappings, sessions, workflows, and job failures. Support and optimize Hive queries and data processing jobs. Perform UNIX scripting and command-line troubleshooting for job recovery and automation. Analyze logs and system metrics to identify and resolve performance bottlenecks. Coordinate with development, infrastructure, and business teams for issue resolution. Implement job scheduling, monitoring, and alerting mechanisms. Ensure data integrity, consistency, and timely delivery. Prepare incident reports, status updates, and documentation. 2–5 years of experience in Production Support / Data Support roles. Strong ha

We are seeking an experienced Kafka Administrator to manage and maintain enterprise-level Apache Kafka clusters. The ideal candidate will be responsible for installation, configuration, monitoring, performance tuning, and ensuring high availability of Kafka infrastructure in distributed environments. Key Responsibilities Kafka Cluster Administration Install, configure, and maintain Apache Kafka clusters Manage Kafka brokers, topics, partitions, and replication Perform cluster upgrades, scaling, and capacity planning Monitoring & Performance Tuning Monitor Kafka cluster health using tools like: Prometheus, Grafana, Confluent Control Center Optimize broker performance, throughput, and latency Tune configurations for producers and consumers Data Streaming & Integration Manage real-time data pipelines using Kafka Handle integration with: Spark, Hadoop, Flink Databases & APIs Support streaming use cases and event-driven architecture Security & Governance Implement authentication and authori

We are seeking an experienced Kafka Administrator to manage and maintain enterprise-level Apache Kafka clusters. The ideal candidate will be responsible for installation, configuration, monitoring, performance tuning, and ensuring high availability of Kafka infrastructure in distributed environments. Key Responsibilities Kafka Cluster Administration Install, configure, and maintain Apache Kafka clusters Manage Kafka brokers, topics, partitions, and replication Perform cluster upgrades, scaling, and capacity planning Monitoring & Performance Tuning Monitor Kafka cluster health using tools like: Prometheus, Grafana, Confluent Control Center Optimize broker performance, throughput, and latency Tune configurations for producers and consumers Data Streaming & Integration Manage real-time data pipelines using Kafka Handle integration with: Spark, Hadoop, Flink Databases & APIs Support streaming use cases and event-driven architecture Security & Governance Implement authentication and authori

Key Responsibilities Develop and maintain data pipelines using PySpark Process and analyze large-scale datasets in distributed environments Design and implement ETL/ELT workflows Optimize Spark jobs for performance and scalability Work with data stored in HDFS, Hive, or cloud storage (S3, ADLS) Collaborate with data engineers, analysts, and business teams Ensure data quality, integrity, and governance Debug and troubleshoot data processing issues Automate workflows using scheduling tools (Airflow, Oozie, etc.) Write clean, scalable, and efficient code Required Skills & Qualifications Technical Skills Strong proficiency in Python and PySpark Good experience with Apache Spark (RDDs, DataFrames, Spark SQL) Knowledge of Hadoop ecosystem (HDFS, Hive) Experience in ETL pipeline development Familiarity with SQL and database concepts Experience with data formats (Parquet, ORC, JSON, CSV) Basic understanding of distributed computing concepts Exposure to version control tools (Git) Preferred Ski

Install, configure, and maintain Informatica PowerExchange components. Configure and manage PowerExchange for CDC (Change Data Capture) from various source systems (DB2, Oracle, SQL Server, VSAM, etc.). Administer PowerExchange Listener, Logger, and CAPX components. Monitor and manage data replication and data movement processes. Troubleshoot issues related to connectivity, performance, and data capture latency. Manage PowerExchange configuration files and parameter settings. Work closely with Informatica PowerCenter / IICS teams for integration. Ensure high availability, failover setup, and disaster recovery procedures. Optimize performance for near real-time data integration. Maintain system logs, monitor alerts, and ensure system health. Implement and enforce data security and compliance policies. Support upgrades, patches, and migration activities. 2–9 years of experience in Informatica administration or data integration platforms. Hands-on experience with Informatica PowerExchange

GCP BigQuery Development Design, develop, and optimize data warehouses using Google BigQuery Build and maintain data models (fact/dimension, star/snowflake schemas) Develop complex SQL queries for analytics and reporting Optimize queries for cost, performance, and scalability Implement partitioning, clustering, and materialized views Python Development Develop data pipelines and workflows using Python Build reusable scripts for data ingestion, transformation, and automation Integrate Python applications with GCP services and APIs Ensure code quality, modularity, and scalability Data Engineering & ETL Design and build ETL/ELT pipelines using GCP tools Ingest data from multiple sources (APIs, databases, streaming platforms) Process structured and unstructured data efficiently Ensure data quality, validation, and governance GCP Cloud Services Work with GCP services such as: BigQuery (mandatory) Cloud Storage (GCS) Dataflow / Dataproc Pub/Sub (streaming) Cloud Composer (Airflow) Design sca

We are looking for a skilled Informatica Production Support Engineer with expertise in PowerCenter (PC) and Informatica Intelligent Cloud Services (IICS) to support and maintain enterprise ETL/data integration systems. The ideal candidate will be responsible for monitoring, troubleshooting, and ensuring smooth execution of data pipelines in production environments. Key Responsibilities Production Support & Monitoring Monitor daily ETL workflows, mappings, and jobs in PowerCenter and IICS Ensure timely execution of batch jobs and meet SLA commitments Perform initial triage and resolve production issues quickly Incident & Problem Management Troubleshoot failures in sessions, workflows, and integrations Analyze logs and identify root causes for data issues Work on incident management tools (ServiceNow, Jira) Provide permanent fixes for recurring issues Informatica PowerCenter (PC) Support Support PowerCenter environments (10.x) Monitor Repository Service, Integration Service Debug session

MicroStrategy Development Design, develop, and maintain MicroStrategy dashboards, reports, and scorecards Develop and manage Intelligence Server objects, schema objects, and metadata Create metrics, filters, prompts, and transformations Build dynamic dashboards and data visualizations for business users Data Modeling & BI Solutions Design and maintain data models (star schema, snowflake) Work with fact and dimension tables Optimize data models for reporting efficiency and performance Collaborate with data architects for BI solution design Performance Optimization Analyze and optimize report performance, SQL queries, and query tuning Implement best practices for caching, partitioning, and aggregation Troubleshoot performance bottlenecks and improve response times MicroStrategy Administration (Optional / Preferred) Manage MicroStrategy environment, users, security, and access control Handle object migration and version upgrades Perform basic administrative tasks and monitoring SQL & Data

Key Responsibilities Lead end-to-end SAP TM implementations, rollouts, and system enhancements Conduct business requirement gathering, solution design, and architecture discussions Configure and manage core SAP TM functionalities: Freight Order & Freight Unit Management Transportation Planning & Optimization Carrier Selection & Tendering Charge Management & Freight Settlement Drive transportation optimization and cost reduction strategies Integrate SAP TM with: SAP S/4HANA / ECC SAP EWM, SD, MM modules External logistics systems (3PL, carriers) Lead client workshops, blueprint sessions, and solution demos Manage cutover, data migration, and go-live support Provide production support and performance optimization Ensure adherence to best practices and SAP standards Mentor junior consultants and lead TM teams (for Lead roles) Collaborate with cross-functional and global stakeholders Preferred Skills (Nice-to-Have) Experience with SAP EWM integration for end-to-end logistics execution Know

Production Support & Monitoring Monitor daily ETL workflows, mappings, and jobs in PowerCenter and IICS Ensure timely execution of batch jobs and meet SLA commitments Perform initial triage and resolve production issues quickly Incident & Problem Management Troubleshoot failures in sessions, workflows, and integrations Analyze logs and identify root causes for data issues Work on incident management tools (ServiceNow, Jira) Provide permanent fixes for recurring issues Informatica PowerCenter (PC) Support Support PowerCenter environments (10.x) Monitor Repository Service, Integration Service Debug session errors and optimize workflows Perform deployment/migration across environments IICS (Informatica Cloud) Support Monitor IICS jobs, task flows, and mappings Manage Secure Agent (installation, upgrades, troubleshooting) Handle connectivity issues between cloud and on-prem systems Support application integration and data integration pipelines Data Validation & Quality Checks Perform data

Machine Learning Engineering Design, develop, and deploy scalable ML models and AI solutions Build end-to-end pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment Apply advanced techniques for model optimization, validation, and explainability Ensure models are production-ready with high accuracy and performance MLOps & Lifecycle Management Design and implement MLOps frameworks for CI/CD/CT (continuous training) Automate model deployment, versioning, monitoring, and rollback strategies Implement model performance tracking, drift detection, and alerting systems Use tools like MLflow for experiment tracking and model registry Python (OOPs) Development Write scalable, modular, and reusable code using object-oriented Python Develop APIs and backend services for model serving and integration Implement best practices for code quality, testing, and maintainability Databricks & Big Data Build and optimize pipelines using Azure Databricks and PySpar

We are seeking an experienced Informatica BDM Administrator with Hadoop Administration expertise to manage big data and ETL environments. The ideal candidate will be responsible for administration, configuration, performance tuning, and integration of Informatica Big Data Management (BDM) with Hadoop ecosystems. Key Responsibilities Informatica BDM Administration Install, configure, and manage Informatica Big Data Management (BDM) / Data Engineering Integration (DEI) Configure Data Integration Service (DIS), Model Repository Service (MRS) Manage mappings, workflows, and execution on Hadoop clusters Perform migration and deployment across environments (Dev, QA, Prod) Hadoop Cluster Administration Install, configure, and maintain Hadoop clusters (Cloudera, Hortonworks, Apache Hadoop) Manage components: HDFS, YARN, MapReduce Hive, Spark, HBase Ensure cluster health, scalability, and high availability Integration (BDM + Hadoop) Integrate Informatica BDM with Hadoop ecosystems and big data

Key Responsibilities Lead end-to-end SAP FICO implementations, rollouts, and system enhancements Gather business requirements and design finance solutions aligned with business goals Configure and support core FICO modules: FI: GL, AP, AR, Asset Accounting, Bank Accounting CO: Cost Center Accounting, Profit Center, Internal Orders, Product Costing, COPA Drive financial process improvements and automation initiatives Work closely with business stakeholders, finance teams, and auditors Ensure compliance with accounting standards (IFRS, GAAP, local regulations) Integrate SAP FICO with: MM (Procurement) SD (Sales & Distribution) PP (Production Planning) Support month-end and year-end closing activities Handle data migration, cutover planning, and go-live support Troubleshoot production issues and provide timely solutions Lead teams and mentor junior consultants (for Lead role) Prepare functional specifications, documentation, and training materials Preferred Skills (Nice-to-Have) Experienc

Big Data & Spark Development Design and implement scalable data pipelines using Apache Spark (Scala and/or PySpark) Work extensively with Spark Core, Spark SQL, DataFrames, and Datasets Develop batch and real-time data processing solutions using Spark Streaming / Structured Streaming Optimize Spark jobs for performance, memory management, and parallel processing Scala & Python Development Develop robust and efficient applications using Scala and Python Write reusable, modular, and maintainable code Implement business logic and transformations on large datasets Data Engineering & ETL Build and maintain ETL/ELT pipelines for large-scale data ingestion and transformation Process structured and unstructured data from multiple sources Ensure data validation, quality, and consistency Work with file formats like Parquet, ORC, Avro, JSON, CSV Big Data Ecosystem Work with Hadoop ecosystem (HDFS, Hive, YARN) Integrate Spark jobs with data lakes and warehouses Handle large datasets with distribut

Informatica Administration Install, configure, and upgrade Informatica PowerCenter / IDQ / IICS environments Configure domains, repositories, integration services, and nodes Manage users, roles, and security settings within Informatica UNIX / Linux Administration Perform server administration on UNIX/Linux environments Manage file systems, permissions, and system performance Write and maintain shell scripts for automation and monitoring Performance Tuning & Optimization Monitor and optimize Informatica workflows, sessions, and mappings Tune repository performance and database connectivity Analyze logs and troubleshoot performance bottlenecks Deployment & Migration Handle migration of objects across environments (Dev → QA → Prod) Use deployment tools and scripts for release management Maintain version control and environment synchronization Monitoring & Troubleshooting Monitor Informatica services using Admin Console, logs, and monitoring tools Diagnose and resolve failures in workflows