Job Title: Data Engineer
Required Skills: Python, Apache Spark, API Development/Integration, SQL
Positive to Have: Kubernetes

Job Summary

We are looking for an experienced Data Engineer with strong expertise in Python, Apache Spark, APIs, and SQL to design, develop, and maintain scalable data processing solutions. The ideal candidate should have experience in data pipelines, data integration, and distributed data processing.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Python and Apache Spark.
- Develop and integrate REST APIs for data exchange and system integration.
- Write, optimize, and maintain complex SQL queries for data extraction and transformation.
- Process large datasets using distributed computing frameworks.
- Build and maintain ETL/ELT workflows for data ingestion and transformation.
- Ensure data quality, reliability, and performance across data pipelines.




- Collaborate with cross-functional teams to deliver efficient data engineering solutions.
- Work with containerization and orchestration tools such as Kubernetes, if applicable.

Required Skills

- Strong hands-on experience with Python programming.
- Good experience with Apache Spark and distributed data processing.
- Strong SQL skills, including query optimization and data manipulation.
- Experience developing, consuming, or integrating REST APIs.
- Understanding of ETL/ELT processes and data pipeline architecture.
- Knowledge of data modeling and database concepts.

Good to Have

- Experience with Kubernetes for container orchestration.
- Knowledge of Docker and cloud platforms such as AWS, Azure, or GCP.
- Familiarity with CI/CD pipelines and data workflow orchestration tools.

📌 Data Engineer (Bengaluru)
🏢 EVOKE HR
📍 Bengaluru