Senior Data Engineer

0 years

0 Lacs

Posted:3 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title: Senior Data Engineer

Job Summary

Senior Data Engineer

Key Responsibilities

  • Design, build, and maintain scalable data pipelines for batch and near real-time data processing.
  • Develop and optimize ETL/ELT workflows using

    Spark, Flink, and Databricks

    .
  • Work extensively within the

    AWS ecosystem

    (S3, Glue, EMR, Redshift, Lambda, etc.) to build reliable data solutions.
  • Implement real-time data streaming and messaging solutions using

    Kafka

    .
  • Write efficient, reusable, and scalable code in

    Scala and Python

    .
  • Design, optimize, and maintain complex queries in

    SQL and SparkSQL

    .
  • Collaborate with data scientists, analysts, and other stakeholders to ensure data availability, quality, and governance.
  • Monitor, troubleshoot, and optimize data workflows for performance and cost-efficiency.
  • Drive best practices in data engineering, automation, and DevOps for data platforms.

Required Skills & Qualifications

  • Proven experience in

    Batch & Near Real-Time Data Integration

    .
  • Strong hands-on expertise with the

    AWS ecosystem

    (data services).
  • Solid experience with

    Databricks, Apache Spark, Flink, and Kafka

    .
  • Proficiency in

    Scala and/or Python

    programming.
  • Strong expertise in

    Advanced SQL and SparkSQL

    for data processing.
  • Strong understanding of distributed data processing and large-scale data architecture.

Preferred Skills

  • Experience with

    Snowflake

    for data warehousing and analytics.
  • Exposure to modern CI/CD, data versioning, and orchestration tools (Airflow, dbt, etc.).
  • Strong problem-solving skills with a focus on scalability and efficiency.

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