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# Sr. Data Engineer

- **Company:** Wipro Limited
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $60,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, DevOps, Github, Apache Hadoop, Apache Hive, Python (Programming Language), PostgreSQL, SQL Azure, MongoDB, NoSQL, OAuth, Redis, Power BI, Scala (Programming Language), Software Engineering, Data Streaming, Cloud Platform System, Data Ingestion, Azure Data Factory, System Availability, Fastapi, Containerization, Pyspark, Apache Kafka, Data Management, Stream Processing, Data Pipelines, Control M
- **Published:** September 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=513577aef8cab8aa

## About the Role

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, 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.

Mandatory Skills: Modern Data Platform Engineering .

Experience: 5-8 Years .

## Description

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.

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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.

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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.

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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 standards.Collaborate with project managers through all phases of software development life cycle."

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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.", 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., 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.