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Senior Big Data Developer

2 months ago


bangalore, India IntraEdge Full time

We are looking for a highly skilled Senior Big Data Developer to join our engineering team. The successful candidate will be responsible for designing, developing, and maintaining large-scale data processing systems. You will work closely with cross-functional teams to architect scalable data pipelines and provide valuable insights through advanced data processing and analytics. The ideal candidate has a strong background in distributed data processing, cloud platforms, and extensive hands-on experience with big data technologies.


Key Responsibilities:

  • Data Pipeline Development: Design, develop, and optimize large-scale ETL (Extract, Transform, Load) processes and data pipelines.
  • Big Data Management: Work with large datasets, implementing solutions to capture, process, and analyze data from various sources.
  • Data Warehousing: Build and maintain scalable, reliable, and efficient data warehouses.
  • Cloud & Distributed Systems: Implement data solutions using distributed computing tools such as Apache Hadoop, Apache Spark, and cloud platforms like AWS, Azure, or GCP.
  • Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and translate them into technical requirements.
  • Performance Tuning: Ensure performance, reliability, scalability, and security of big data platforms.
  • Mentoring & Leadership: Mentor junior team members and contribute to the overall success of the team by driving technical excellence.


Skills and Qualifications:

  • Technical Expertise:
  • 7+ years of experience in big data development, including a deep understanding of data pipelines, architectures, and distributed systems.
  • Proficiency with big data tools such as Apache Hadoop, Apache Spark, Kafka, Hive, HBase, and others.
  • Strong experience with Python, Scala, Java, or SQL.
  • Expertise with cloud platforms like AWS, Azure, or GCP for big data processing (experience with services like EMR, S3, Redshift, Databricks, etc.).
  • Solid understanding of data modeling, ETL development, and data warehousing principles.
  • Hands-on experience with NoSQL databases like Cassandra, MongoDB, or Couchbase.
  • Experience with CI/CD pipelines and familiarity with containerization tools (e.g., Docker, Kubernetes) is a plus.