Big Data Lead

6 - 10 years

25 - 40 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Data Pipeline Development: Design and develop efficient big data pipelines (batch as well as streaming) using Apache Spark, Trino, ensuring timely and accurate data delivery.
  • Collaboration and Communication: Work closely with data scientists, analysts, and stakeholders to understand data requirements and perform exploratory data analysis to recommend best feature attributes, data models for AI model training and deliver highquality data solutions.
  • Data Exploration: Analyse customer data and patterns and suggest use cases in BFSI like Instights, AI & GenAI use cases.
  • Data Quality and Security: Ensure data quality, integrity, and security across all data platforms, maintaining robust data governance practices.
  • Documentation and Troubleshooting: Own and document data pipelines and data lineage, monitoring and troubleshooting data pipeline issues to ensure timely and accurate data delivery.
  • Big Data Processing: Hands-on experience with Apache Spark, Trino, Minio/S3, Clickhouse and SQL for batch and streaming data pipelines.
  • Design and develop scalable data pipelines using Apache Spark (PySpark) and Python.
  • Implement batch and real-time data processing solutions on large datasets.
  • Work with various SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra, DynamoDB).
  • Data Migration & Warehousing: Expertise in metadata management, ETL processes, and cloud-based data solutions.
  • Data Analysis & Exploration: Strong skills in dataset analysis, pattern recognition, and data visualization using Tableau or Power BI.
  • Collaborate with data architects, analysts, and other engineers to understand business requirements and translate them into technical solutions.
  • Optimize and troubleshoot Spark jobs for performance, scalability, and reliability.
  • Exposure to containerization technologies like Docker and orchestration tools like Kubernetes.

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