Data Engineer

Eidiko Systems Integrators, an IBM Premier Business Partner, HeadQuartered in Hyderabad, India with Delivery Centers in UAE, the US and the UK is a preferred implementation partner in Middleware, Content Management, BPM, Mobile, Collaboration and Social Business spaces. Eidiko Systems Integrators have extensive operations in the Middle East, Africa, the US and India, mostly delivering business solutions leveraging IBM technologies.

Url : https://www.eidiko.com/

Hiring: Data Engineer | AI & Data Engineering

Location: Hyderabad

Experience: 8+ years

Work Mode: WFO

Notice Period: Immediate or up to 15 days

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

• Strong 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

Interested candidates can share their updated resume with relevant experience to [Confidential Information]