5 - 9 years

10 - 20 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

  • Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility.
  • Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data.
  • Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency
  • Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.
  • Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability.

Preferred candidate profile

  • Candidate must have strong knowledge about Spark & Scala

  • Strong experience in programming languages such as Python, Java, or Scala for data manipulation and engineering tasks.

  • Strong Expertise in SQL and/or NoSQL databases

  • In-depth knowledge of data warehousing solutions such as Amazon Redshift, Google BigQuery, and Snowflake for building and managing data warehouses.
  • Having sound knowledge on

    pyspark/spark framework

    with

    python/scala

    as a programming language
  • Hands-on experience with big data technologies like Hadoop, Spark, Kafka, and Hive to handle large-scale data processing and real-time data streams.
  • Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache NiFi, Talend, or Informatica.

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