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Senior Data Engineer

India, Pune Employment contract · Job Posted June 04, 2026
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Job Description

We are looking for a hands-on Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Data Engineer, the candidate will leverage deep technical knowledge and will apply knowledge of data architecture standards, data warehousing, data structures, and business intelligence to drive the creation of high-quality data products for data driven decision making.

Job Responsibility

  • We are looking for a hands-on Data Engineer who is passionate about solving business problems through innovation and engineering practices
  • As a Data Engineer, the candidate will leverage deep technical knowledge and will apply knowledge of data architecture standards, data warehousing, data structures, and business intelligence to drive the creation of high-quality data products for data driven decision making

Requirements

  • 6+ Years Experience of implementing data-intensive solutions using agile methodologies
  • Code contributing member of Agile teams, working to deliver sprint goals
  • Write clean, efficient, and maintainable code that meets the highest standards of quality
  • Very strong in coding Python/Pyspark, UNIX shell scripting
  • Experience in cloud native technologies and patterns
  • Ability to automate and streamline the build, test and deployment of data pipelines
  • ETL: Hands on experience of building data pipelines. Proficiency in data integration platforms such as Apache Spark
  • Experienced in writing Pyspark code to handle large data set ,perform data transformation , familiarity with Pyspark integration with other Apache Spark component ,such as Spark SQL , Understanding of Pyspark optimization techniques
  • Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation
  • Big Data:Exposure to 'big data' platforms such as Hadoop, Hive or Iceberg for data storage and processing
  • Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
  • Data Modeling & Design: Good exposure to data modeling techniques
  • design, optimization and maintenance of data models and data structures
  • Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, PySpark, UNIX Shell scripting
  • DevOps: Exposure to concepts and enablers - CI/CD platforms, bitbucket/Github, JIRA, Jenkins, Tekton, Harness
  • Strong project management and organizational skills
  • Excellent problem-solving, communication, and organizational skills
  • Proven ability to work independently and with a team
  • Experience in managing and implementing successful projects
  • Ability to adjust priorities quickly as circumstances dictate
  • Consistently demonstrates clear and concise written and verbal communication

Nice to have

  • Java, for REST API development
  • Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls, framework libraries like Deequ
  • Federated Query: Starburst, Trino
  • Containerization: Fair understanding of containerization platforms like Docker, Kubernetes, Openshift
  • File Formats: Exposure in working on File/Table Formats such as Avro, Parquet, Iceberg, Delta
  • Schedulers: Basics of Job scheduler like Autosys, Airflow
  • Cloud: Experience in cloud native technologies and patterns (AWS, Google Cloud)
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