We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data platforms supporting analytics, AI/ML, and enterprise data solutions.
Key Responsibilities:
- Design and develop ETL/ELT pipelines for structured and unstructured data
- Build and maintain Data Lakes, Data Warehouses, and data architectures
- Integrate data from multiple internal and external sources
- Perform data transformation, cleansing, enrichment, and quality checks
- Develop batch and real-time data processing pipelines
- Work with distributed processing frameworks such as Spark/Hadoop
- Support AI/ML pipelines, feature engineering, and analytics workloads
- Implement data governance, security, privacy, and data quality controls
- Monitor pipelines, troubleshoot failures, and optimize performance
- Maintain data lineage, metadata, documentation, and monitoring
- Collaborate with DevOps teams on CI/CD and deployment automation
Required Skills:
- Data Engineering & ETL/ELT
- Solid SQL and Python/Scala
- Apache Spark / Hadoop
- Data Modeling & Data Warehousing
- Data Lakes
- Cloud Data Platforms Azure / AWS / GCP
- Kafka / Azure Event Hubs
- Relational & NoSQL databases
- Data Governance & Data Quality
- Performance Optimization & Troubleshooting
Preferred Tools:
Azure Data Factory | AWS Glue | Google Dataflow | Databricks | Snowflake | BigQuery | PostgreSQL | MySQL | SQL Server | Airflow | Git | Azure DevOps | Jenkins | Prometheus | Grafana
Experience in banking/financial services or other regulated industries is an advantage.
Preferred Certifications:
Azure Data Engineer Associate | AWS Data Analytics | Google Professional Data Engineer | Databricks Certification
📌 Data Engineer (Hyderabad)
🏢 Eidiko Systems Integrators
📍 Hyderabad
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.