Job Title: Lead Data Engineer
Experience: 712 Years
Location: Bangalore
Employment Type: Full-Time
Work Mode: Work from Office

( Immediate joiner )

Job Summary

We are looking for an experienced Lead Data Engineer to lead the design, development, and implementation of scalable data engineering solutions. The ideal candidate should have strong hands-on expertise in Scala, Apache Spark, SQL, and cloud data platforms, along with experience in leading technical teams and delivering large-scale data pipelines.

Key Responsibilities

- Lead the design and development of high-volume, scalable data pipelines and data processing frameworks.
- Develop robust batch and real-time data processing solutions using Apache Spark.
- Work extensively with Scala, Spark, and SQL to build and optimize data transformation pipelines.
- Design and implement data solutions on cloud platforms such as AWS, Azure, or GCP.
- Develop and maintain data pipelines for structured and unstructured data.




- Perform performance tuning and optimization of Spark jobs, SQL queries, and data pipelines.
- Work with technologies such as Kafka for real-time/streaming data processing.

Mandatory Skills

- 7–12 years of experience in Data Engineering.
- Strong hands-on experience with Scala + Apache Spark.
- Excellent knowledge of SQL and database concepts.
- Strong experience building ETL/ELT data pipelines.
- Experience with Spark Batch and Spark Streaming.
- Experience with Kafka or other streaming technologies.
- Hands-on experience with at least one cloud platform – AWS / Azure / GCP.
- Robust understanding of data warehousing, data lakes, and distributed data processing.
- Experience with performance tuning and optimization of Spark applications.
- Good understanding of CI/CD, Git, and Agile methodologies.
- Strong problem-solving and communication skills.

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