Sr. Data Engineer
Atlanta, GA - USA
Job Summary
The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes creating replication patterns performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable well-documented deliverables that meet business objectives.
Areas of responsibility
Gathering of requirements-Participate in gathering requirements for specific modules and ensure clear structured documentation. Work across multiple business processes to capture linkages dependencies and required changes.
Solution Design-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.
Coding and Configuration-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 with project managers through all phases of software development life cycle.
Perform root-cause analysis to identify and troubleshoot recurring technical issues. Modify software codes to resolve errors adapt to new hardware and software enhance performance and upgrade interfaces.
Implementation-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.
Job Summary:
We are looking for a Senior Data Engineer with 9 years of experience in Azure Data Services Big Data ETL/ELT PySpark Scala Python Power BI and Data Warehousing. The role involves designing scalable data pipelines cloud-based data platforms analytics solutions and real-time data processing frameworks.
Key Skills:
- 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
Responsibilities:
- 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.
Preferred Skills:
- FastAPI Redis OAuth2/JWT
- Azure Sentinel
- Real-time Streaming Architectures
- Cloud-native and containerized applications
Experience:
9 years in Data Engineering Analytics Cloud Technologies and enterprise-scale data platforms.
Required Experience:
Senior IC
About Company
As a global leader, Wipro blends consulting and AI expertise across design, engineering and operations to accelerate business transformation and deliver future-ready technology.