Senior Data Engineer

8 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Experience: 5–8 Years

Location:

Job Summary

Senior Data Engineer

Key Responsibilities

  • Design, build, and maintain robust

    ETL/ELT data pipelines

    for large-scale data processing.
  • Develop optimized data models and transformations using Snowflake, Redshift, and Databricks.
  • Write complex, high-performance queries using

    Advanced SQL

    .
  • Develop scalable data processing solutions using Python.
  • Integrate data from multiple structured and unstructured data sources.
  • Partner with analytics teams to deliver reporting and dashboards using Tableau.
  • Optimize performance, cost, and scalability of cloud-based data platforms.
  • Ensure best practices in data security, quality, governance, and compliance.
  • Lead code reviews, mentor junior engineers, and drive data engineering best practices.
  • Collaborate with product, analytics, and business stakeholders for data-driven decision making.

Must-Have Skills

  • Strong hands-on experience with

    Python

    for data engineering.
  • Expertise in

    Advanced SQL

    (window functions, CTEs, query optimization).
  • Extensive experience with

    Snowflake

    and

    Amazon Redshift

    .
  • Strong experience with

    Databricks / Apache Spark

    .
  • Hands-on experience building

    ETL/Data Pipelines

    .
  • Strong dashboarding and data visualization experience using

    Tableau

    .
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Solid understanding of data warehousing concepts and dimensional modeling.

Good to Have Skills

  • Experience with Airflow, dbt, or other orchestration tools.
  • Streaming data exposure (Kafka, Kinesis).
  • CI/CD, Git, and Infrastructure as Code experience.

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