Chief Data Architect and Engineer

5 days ago

Ghaziabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Role - Data Architect and Engineer

Key Responsibilities:

  • Design, develop, and deploy scalable data pipelines and ETL processes using Scala and Apache Spark (Databricks).
  • Develop and maintain robust data processing workflows using PySpark and Python.
  • Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver robust data solutions.
  • Architect and implement efficient data ingestion, transformation, and integration solutions for structured and unstructured data.
  • Optimize Spark jobs for performance and cost efficiency on cloud platforms.
  • Lead and mentor a team of data engineers, ensuring best practices in coding, testing, and deployment.
  • Establish and enforce data engineering standards, code reviews, and documentation.
  • Troubleshoot and resolve complex data pipeline issues.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10+ years of professional experience in data engineering.
  • Strong hands-on programming experience in Scala, with a deep understanding of functional programming concepts.
  • Extensive experience with Apache Spark, including Spark SQL, Spark Streaming, and optimization techniques.
  • Proficiency in Python and PySpark for data processing tasks.
  • Experience working with Databricks or similar cloud-based Spark platforms.
  • Solid understanding of distributed computing, big data architectures, and data modeling.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with data storage technologies like HDFS, S3, Delta Lake, and relational/non-relational databases.
  • Strong leadership skills with experience leading and mentoring engineering teams.
  • Excellent problem-solving, communication, and collaboration skills.

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