Senior Data Engineer

24 hours ago

Ghaziabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Senior Data Engineer

We are seeking a seasoned Senior Data Engineer to join our team. As a key member of our data engineering group, you will design, develop, and maintain large-scale data pipelines and ETL processes on Databricks.

The ideal candidate will have 7+ years of experience in Data Engineering and a proven track record of delivering scalable, secure, and high-performance data solutions. You will lead the architecture and implementation of data solutions, collaborating with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable insights.

  • Key Responsibilities:
  • Design, develop, and maintain data pipelines and ETL processes on Databricks.
  • Lead the architecture and implementation of scalable, secure, and high-performance data solutions.
  • Collaborate with cross-functional teams to gather requirements and deliver data solutions.
  • Optimize data workflows for performance, cost-efficiency, and reliability.
  • Integrate data from multiple sources into Delta Lake and cloud data warehouses.
  • Implement best practices in data governance, security, and quality management.
  • Provide technical leadership and mentor junior engineers in data engineering best practices.
  • Troubleshoot and resolve issues in data pipelines, ensuring high data availability and integrity.
Required Skills & Experience
  • 7+ years of experience in Data Engineering.
  • Proven expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
  • Strong experience with PySpark, Spark SQL, and Scala programming languages.
  • Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus).
  • Proficiency in data modeling, ETL development, and data warehousing concepts.
  • Solid understanding of big data ecosystems (Hadoop, Kafka, etc.).
  • Strong SQL development skills with a focus on performance tuning.
  • Experience in implementing CI/CD pipelines for data solutions.

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