Sr. Data Engineer

Wipro • Atlanta, GA

7h

About The Position

Wipro Limited is seeking a Senior Data Engineer with extensive experience in Azure Data Services, Big Data, ETL/ELT, PySpark, Scala, Python, Power BI, and Data Warehousing. This role is crucial for designing and implementing scalable data pipelines, cloud-based data platforms, analytics solutions, and real-time data processing frameworks. The engineer will be responsible for building and optimizing data ingestion frameworks, designing batch and real-time data processing solutions, developing data warehouses and Power BI dashboards, and ensuring data quality, governance, security, and platform reliability. Collaboration with business and technical teams to deliver end-to-end data solutions is a key aspect of this position.

Requirements

• 9+ years of experience in Azure Data Services, Big Data, ETL/ELT, PySpark, Scala, Python, Power BI, and Data Warehousing.
• Azure Data Factory (ADF), Azure SQL, Blob Storage
• PySpark, Spark SQL, Hadoop, Kafka, Hive
• Python, Scala, SQL
• Data Warehousing & Data Modeling
• Power BI Reporting & Analytics
• Apache Airflow, Control-M
• PostgreSQL, MongoDB, NoSQL Databases
• GitHub Actions, CI/CD, DevOps
• Modern Data Platform Engineering
• 5-8 Years of experience in Modern Data Platform Engineering.

Nice To Haves

• FastAPI, Redis, OAuth2/JWT
• Azure Sentinel
• Real-time Streaming Architectures
• Cloud-native and containerized applications

Responsibilities

• Facilitate application solutions by developing and reviewing module-level codes.
• Create replication patterns.
• Perform root cause analysis to identify recurring issues.
• Collaborate with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.
• Participate in gathering requirements for specific modules and ensure clear, structured documentation.
• Work across multiple business processes to capture linkages, dependencies, and required changes.
• Facilitate creation of application solution designs for a specific module under the guidance of the Project Manager, ensuring alignment with business requirements and technical standards.
• Review the developed codes, resolve technical queries of the team for the assigned module and create consistent replication patterns, to ensure that the developed code aligns with the project standards.
• Collaborate with project managers through all phases of software development life cycle.
• Modify software codes to resolve errors, adapt to new hardware and software, enhance performance, and upgrade interfaces.
• Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment.
• Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks.
• Build and optimize ETL/ELT pipelines and data ingestion frameworks.
• Design scalable batch and real-time data processing solutions.
• Develop data warehouses, data models, and Power BI dashboards.
• Implement workflow orchestration, monitoring, and automation.
• Ensure data quality, governance, security, and platform reliability.
• Collaborate with business and technical teams to deliver end-to-end data solutions.

Benefits

• Full range of medical and dental benefits options
• Disability insurance
• Paid time off (inclusive of sick leave)
• Other paid and unpaid leave options

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed