Senior Data Engineers (Developers Only) - JG

Shift: 2:00 PM 11:00 PM ISTExperience: 8+ years of hands-on Data Engineering experience

About The Role

We are looking for

experienced Data Engineers

who can design, build, and optimize large-scale data pipelines. This role is for

individual contributors

who love coding, problem-solving, and working with cutting-edge big data technologies.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for ETL processes using Spark (PySpark/Scala).
• Optimize data flow and automate existing processes for improved performance.
• Collaborate with cross-functional teams Data Science, Analytics, and Product to support data infrastructure needs.
• Work on data quality, reliability, and performance improvements.
• Handle large datasets from multiple sources (structured & unstructured).
  

Required Skills & Experience

• 8+ years of experience as a Data Engineer working in big data environments.
• Strong programming experience in Scala and/or PySpark.
• Hands-on experience with Apache Spark, Databricks, and cloud-based data architectures.
• Solid knowledge of SQL and relational databases (Postgres, MySQL, etc.).
• Experience with file formats like Parquet, Delta Tables, CSV, JSON.
• Comfortable working in a Linux shell environment.
• Strong communication and problem-solving skills.
  

Good To Have

• Experience in machine learning data pipelines.
• Working knowledge of Agile environments and CI/CD data workflows.
  

Skills: machine learning,agile,mysql,data pipelines,data engineer,automation,spark,data infrastructure,csv,delta tables,data architectures,json,databricks,computerized system validation (csv),postgresql,agile environments,parquet,etl processes,data workflows,data flow,data engineering,sql,linux shell,apache spark,ci/cd,scala,pyspark,big data,big data environments