Senior Data Engineer

10 hours ago


Gurgaon, Haryana, India Undisclosed Full time
About the Role

We are seeking a highly skilled Senior Data Engineer to join our team in Gurugram, Haryana. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining scalable data pipelines using Python and PySpark to support data analytics and business intelligence needs.

Key Responsibilities
  • Design and implement efficient data processing workflows using Python and PySpark.
  • Develop and optimize ETL processes to gather, process, and transform raw data from multiple sources.
  • Ensure data quality and consistency through data validation, cleansing, and monitoring.
  • Manage and optimize databases, data storage, and data warehousing solutions.
  • Develop data integration solutions and ensure data security and compliance with regulatory standards.
Requirements
  • Bachelor degree in Computer Science, Information Technology, or a related field.
  • 7+ years of experience in data engineering, with a solid understanding of ETL frameworks, data integration, and data architecture.
  • Proficiency in Python and PySpark for data processing, along with SQL for querying and data manipulation.
  • Experience with relational databases (e.g., MySQL, PostgreSQL) and big data platforms (e.g., Hadoop, Spark).
  • Hands-on experience with cloud data services (e.g., AWS) and familiarity with cloud-based data engineering tools.
  • Strong analytical and problem-solving skills with a focus on data quality and integrity.
What We Offer

We offer a competitive salary of ₹14,00,000 per annum, a comprehensive benefits package, and opportunities for career growth and professional development.


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