Data Engineer

Data Engineer

Design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

Must have skills: Apache Spark

Minimum 3 years of experience is required. 15 years full time education is required.

Roles & Responsibilities:

• Develop and maintain data processing pipelines using Apache Spark (PySpark).
• Write efficient and optimized Python code to handle large datasets.
• Design and implement ETL workflows for ingestion, transformation, and storage of data.
• Optimize Spark jobs for performance and scalability.
• Work with big data platforms (HDFS, Hive, Delta Lake, etc.) and cloud storage (AWS S3, Azure Data Lake, GCP BigQuery).
• Collaborate with data engineers, analysts, and data scientists to deliver reliable data solutions.
• Implement unit testing, debugging, and monitoring of Spark applications.
• Ensure data quality, security, and compliance in all developed solutions.
• Document workflows, architecture, and code best practices.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Apache Spark.
• Good To Have Skills: Experience with data warehousing solutions.
• Work with big data platforms (HDFS, Hive, Delta Lake, etc.) and cloud storage (AWS S3, Azure Data Lake, GCP BigQuery).
• Strong understanding of ETL processes and data integration techniques.
• Familiarity with cloud platforms such as AWS or Azure.
• Experience in programming languages such as Python or Scala.

The candidate should have minimum 5 years of experience in Apache Spark. This position is based at our Bengaluru office.

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