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Data Governance Implementation Design and implement data governance frameworks, policies, and standards Define data ownership, stewardship, and accountability models Ensure compliance with regulatory requirements (GDPR, HIPAA, etc.) Data Quality Management Implement and manage data quality tools (IDQ / Ataccama / Collibra / Talend DQ) Define and enforce data quality rules (validity, accuracy, completeness, consistency) Perform data profiling, cleansing, validation, and monitoring Identify and resolve data anomalies and inconsistencies Metadata & Data Lineage Maintain and manage data catalog, metadata, and lineage Track end-to-end data flow across systems Ensure transparency and traceability of data assets Data Stewardship & Compliance Collaborate with data stewards, business users, and IT teams Establish processes for data issue management and resolution Conduct audits and ensure adherence to governance policies Integration with Data Platforms Integrate data quality checks with: Data w

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 Required Skills & Qualifications Technica

AWS Bedrock & Generative AI Development Design and develop applications using AWS Bedrock (LLMs, Foundation Models) Integrate models like Anthropic Claude, Amazon Titan, or other Bedrock-supported models Build prompt engineering strategies and AI workflows Implement use cases such as chatbots, summarization, recommendations, and NLP pipelines Python Development Develop backend services and APIs using Python (FastAPI, Flask) Implement AI/ML pipelines and integrate model responses into applications Build reusable libraries for LLM interaction and automation Infrastructure as Code (Terraform) Design and implement cloud infrastructure using Terraform Build reusable modules for deploying AWS resources Manage Terraform state and automate deployments via CI/CD Provision services like Bedrock, Lambda, API Gateway, S3, IAM AWS Cloud Development Work with key AWS services: Lambda, API Gateway (serverless apps) S3 (data storage) DynamoDB / RDS (data persistence) IAM & VPC (security & networking)

Key Responsibilities Machine Learning Engineering Develop, train, evaluate, and deploy machine learning models at scale Implement end-to-end ML pipelines from data ingestion to model serving Work on model optimization, validation, and performance monitoring Apply best practices for feature engineering and model lifecycle management MLOps & Deployment Build and maintain MLOps pipelines for CI/CD/CT (Continuous Training) Automate model deployment, versioning, and monitoring Implement experiment tracking and model registry (MLflow preferred) Ensure model reproducibility, scalability, and governance Python (OOPs) Development Develop modular, reusable, and scalable code using object-oriented Python Build robust backend services and ML utilities Write clean, testable, and well-documented code Databricks Develop and optimize workflows on Azure Databricks Work with PySpark for data processing and feature engineering Manage notebooks, jobs, clusters, and Delta Lake pipelines Optimize Spark jobs

Key Responsibilities Lead end-to-end SAP SD implementations, rollouts, and enhancements Gather and analyze business requirements and design scalable SD solutions Configure core SAP SD modules including: Sales Order Processing Pricing & Billing Credit Management Shipping and Delivery Processing Drive Order-to-Cash (OTC) process optimization Integrate SAP SD with: MM (Materials Management) FI (Finance) TM / EWM (preferred) Lead client workshops, blueprinting sessions, and solution design discussions Manage stakeholder communication and provide advisory support Support cutover planning, data migration, and go-live activities Troubleshoot complex production issues and provide resolution Lead or mentor a team of consultants (for Lead role) Ensure documentation, testing (UAT), and quality assurance Required Skills & Qualifications Technical Skills Strong expertise in SAP SD configuration and customization Hands-on experience in: Pricing procedures, condition techniques Billing processes and

Key Responsibilities AWS Cloud Administration Manage and maintain AWS services (EC2, S3, RDS, Lambda, VPC, IAM) Provision, monitor, and optimize cloud infrastructure Ensure high availability, scalability, and security of cloud resources Infrastructure as Code (Terraform) Design and implement Infrastructure as Code (IaC) using Terraform Build reusable Terraform modules and templates Manage remote state, versioning, and automated deployments Integrate Terraform with CI/CD pipelines Data Quality Implementation (IDQ / Ataccama) Install, configure, and manage Informatica Data Quality (IDQ) / Ataccama ONE platform Implement data profiling, cleansing, validation, and monitoring rules Ensure data accuracy, completeness, and consistency across systems Create and maintain data quality workflows and pipelines Integration & Data Engineering Support Integrate data quality tools with data lakes/warehouses (Snowflake, Redshift, BigQuery, etc.) Support ETL/ELT pipelines and validate data at different

Big Data & Spark Development Develop and maintain data processing pipelines using Apache Spark (PySpark & Scala) Work with Spark DataFrames, RDDs, and Spark SQL Implement transformations, joins, aggregations, and optimizations Tune Spark jobs for performance, scalability, and reliability Python & Scala Programming Write clean, efficient, and scalable code in Python and Scala Develop modular and reusable components Integrate data pipelines with various applications and APIs ETL & Data Engineering Design and build ETL workflows for structured and unstructured data Extract data from multiple sources (databases, APIs, flat files) Perform data cleansing, transformation, and validation Ensure data accuracy, consistency, and completeness Data Platforms & Integration Work with Hadoop ecosystem (HDFS, Hive, Spark) Handle large datasets in data lakes and warehouses Process data in formats like Parquet, ORC, JSON, CSV Collaboration & Support Work with data engineers, analysts, and business stakeh

A day in the life of an Infoscion • As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment • You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs • You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. • You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives • You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to custom

2–9 years of experience in Talend Administration / Data Integration support. Hands-on experience with: Talend Administration Center (TAC) Talend Job Server Talend Data Integration tools Strong understanding of ETL processes and data integration concepts. Experience with Job scheduling, deployment, and monitoring. Knowledge of Linux/Unix systems and basic scripting (Shell). Experience in user management and access control. Familiarity with relational databases and SQL. Ability to troubleshoot and resolve system/performance issues. Experience with CI/CD tools (Jenkins, Git, Azure DevOps). Familiarity with Talend Cloud (Talend Management Console – TMC). Knowledge of Java (basic) for troubleshooting Talend jobs. Experience with cloud platforms (AWS, Azure, GCP). Understanding of data warehousing and big data ecosystem. Experience with monitoring tools and automation scripts.

AWS Cloud Administration Manage and maintain AWS infrastructure (EC2, S3, VPC, IAM, RDS, Lambda, etc.) Monitor system performance, availability, and security Perform resource provisioning, scaling, and maintenance Infrastructure as Code (Terraform) Design and implement Infrastructure as Code (IaC) using Terraform Develop reusable Terraform modules and templates Manage Terraform state files and backend configurations Automate deployment of cloud infrastructure Automation & DevOps Build and maintain CI/CD pipelines for infrastructure deployments Automate operational tasks using scripting (Shell/Python) Integrate Terraform with tools like Jenkins, GitHub Actions, Azure DevOps Security & Governance Implement IAM roles, policies, and security best practices Enforce compliance standards and governance policies Configure secure networking (VPC, subnets, security groups, NACLs) Monitoring & Troubleshooting Use monitoring tools like CloudWatch, CloudTrail Troubleshoot infrastructure issues and

A day in the life of an Infoscion • As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment. • You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues. • You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms. • You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance. • You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-qual

A day in the life of an Infoscion • As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment. • You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues. • You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms. • You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance. • You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-qual

Snowflake Administration Manage and administer Snowflake accounts, warehouses, databases, schemas, and roles Configure and maintain virtual warehouses for optimal performance Handle user access control and role-based security Performance & Cost Optimization Monitor and optimize query performance and warehouse usage Implement cost optimization strategies (auto-suspend/resume, scaling policies) Analyze query execution plans and troubleshoot slow queries Security & Governance Implement data security policies (RBAC, masking, row-level security) Configure network policies, encryption, and access control Ensure compliance with data governance standards Data Management Manage data loading/unloading (Snowpipe, COPY commands) Monitor data ingestion pipelines and troubleshoot failures Ensure data integrity and consistency Backup, Recovery & High Availability Implement data retention, fail-safe, and time travel features Plan and manage disaster recovery strategies Ensure business continuity Monit

A day in the life of an Infoscion • As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment. • You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues. • You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms. • You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance. • You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-qual

ETL Development Design, develop, and maintain ETL pipelines using Python and PySpark Extract, transform, and load data from multiple structured and unstructured sources Build reusable and scalable data processing frameworks Ensure data quality, validation, and consistency PySpark / Big Data Processing Develop and optimize PySpark jobs for large-scale data processing Work with Spark DataFrames and RDDs Implement transformations, aggregations, and joins in Spark Optimize jobs for performance and scalability Python Development Develop backend logic and data processing scripts using Python Write modular, reusable, and efficient code Integrate APIs and automate workflows Data Management & Integration Work with data lakes and warehouses (S3, HDFS, Redshift, Hive) Handle file formats like Parquet, ORC, JSON, CSV Perform data cleansing, enrichment, and transformation Collaboration & Support Work with data engineers, analysts, and business stakeholders Debug and troubleshoot ETL/data pipeline i

A day in the life of an Infoscion • As part of the Infosys consulting team, your primary role would be to lead the engagement effort of providing high-quality and value-adding consulting solutions to customers at different stages- from problem definition to diagnosis to solution design, development and deployment. • You will review the proposals prepared by consultants, provide guidance, and analyze the solutions defined for the client business problems to identify any potential risks and issues. • You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms. • You will also coach and create a vision for the team, provide subject matter training for your focus areas, motivate and inspire team members through effective and timely feedback and recognition for high performance. • You would be a key contributor in unit-level and organizational initiatives with an objective of providing high-qual

Cluster Management Install, configure, and maintain Hadoop clusters (Cloudera, Hortonworks, or Apache Hadoop) Manage core components including HDFS, YARN, MapReduce Perform cluster scaling, upgrades, and patching Administration & Monitoring Monitor cluster performance, health, and usage Troubleshoot and resolve cluster issues, failures, and bottlenecks Implement alerting and monitoring tools (Ambari, Cloudera Manager, Grafana) Security & Governance Configure and manage Kerberos authentication Implement data security policies using Ranger / Sentry Handle user access controls and permissions Data Management Manage data storage, replication, and backup strategies Optimize HDFS performance and storage utilization Handle data ingestion and integration workflows Performance Optimization Tune Hadoop cluster performance (memory, CPU, storage) Optimize YARN resource allocation and scheduling Identify and resolve performance issues in jobs Integration & Support Support tools in Hadoop ecosystem:

A day in the life of an Infoscion • As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. • You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. • You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. • You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. • You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clien

5–9 years of experience in Data Engineering / Big Data development. Strong hands-on experience with Python and Apache Spark (Scala & PySpark). Deep understanding of Spark architecture (RDD, DataFrames, Spark SQL). Experience in distributed computing and big data processing. Strong knowledge of SQL and data modeling concepts. Experience with data pipeline development (ETL/ELT). Familiarity with Linux/Unix environments. Experience with version control tools (Git). Experience with cloud platforms (AWS, Azure, or GCP). Hands-on with Databricks / EMR / Spark clusters. Knowledge of streaming technologies (Kafka, Spark Streaming, Structured Streaming). Experience with workflow orchestration tools (Airflow, Oozie). Familiarity with Delta Lake / Lakehouse architecture. Exposure to NoSQL databases (MongoDB, Cassandra). Knowledge of CI/CD and DevOps practices.

A day in the life of an Infoscion • As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. • You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. • You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. • You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. • You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clien