About the Role

We are looking for a skilled Data Engineer to join our team and help design, build, and maintain scalable data pipelines and data platforms. The ideal candidate should have strong experience in data engineering, ETL processes, cloud technologies, and working with large datasets.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Develop and optimize data processing solutions for large and complex datasets.
- Work with structured and unstructured data from multiple sources.
- Build and maintain data warehouses, data lakes, and data models.
- Perform data transformation, cleansing, validation, and integration.
- Optimize SQL queries and data processing jobs for performance.
- Collaborate with Data Scientists, Analysts, Developers, and Business teams.
- Ensure data quality, reliability, security, and availability.
- Monitor and troubleshoot data pipelines and resolve production issues.
- Implement best practices for data engineering, documentation, and deployment.

Required Skills

- Hands-on experience in Data Engineering.




- Strong proficiency in SQL.
- Good programming experience in Python, Java, or Scala.
- Experience with ETL/ELT tools and data pipeline development.
- Solid understanding of Data Warehousing and Data Modeling.
- Experience with technologies such as Apache Spark, Kafka, Airflow, or similar tools.
- Experience with at least one cloud platform: AWS / Azure / GCP.
- Knowledge of relational and NoSQL databases.
- Understanding of distributed systems and big data concepts.
- Experience with Git, CI/CD, and Agile development methodologies.

Good to Have

- Experience with Databricks, Snowflake, AWS Glue, Azure Data Factory, or similar platforms.
- Knowledge of PySpark.
- Experience with Docker/Kubernetes.
- Exposure to real-time/streaming data pipelines.
- Experience working with cloud-based data lakes and data warehouses.

Pay: From ₹100,000.00 per year

Benefits:

- Provident Fund

Work Location: Remote

📌 Data Engineer (India)
🏢 Immersive Infotech
📍 India