Senior Big Data Engineer

3 days ago

Kolkata Delhi Mumbai, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 30,00,000

We are currently seeking a highly skilled Data Engineer to lead our data platform development team and drive the creation of robust, scalable data processing solutions.

Job Description:

Data Engineering Development:

  • Design, develop, and test complex data processing applications using Apache Spark to handle large-scale datasets from various sources, including relational databases, NoSQL databases, batch files, and real-time data streams.
  • Implement efficient data transformation and aggregation using PySpark and relevant big data frameworks.
  • Develop robust error handling and exception management mechanisms to ensure data integrity and system resilience within Spark jobs.
  • Optimize PySpark jobs for performance, including partitioning, caching, and tuning of Spark configurations.
Required Skills and Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • At least 5 years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
  • Strong understanding of data processing principles, techniques, and best practices in a big data environment.
  • Proficiency in PySpark, Apache Spark, and related big data technologies for data processing, analysis, and integration.
  • Experience with ETL development and data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills to work effectively with data analysts, data architects, and other team members.

Benefits:

This role offers a unique opportunity to work on cutting-edge data engineering projects, collaborate with a talented team of professionals, and contribute to the development of innovative data-driven solutions.

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