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Work Mode

On-site

Job Type

Full Time

Job Description

Position:

Data Engineer Lead

Experience:

5–7 Years

Location:

Udaipur / Gurugram

Work Mode:

On-site (5 Days a Week)

About the Role

Data Engineer Lead

You will lead end-to-end data engineering efforts—from ingestion and transformation to orchestration and infrastructure—ensuring reliability, performance, and scalability of the data ecosystem.

Key Responsibilities

  • scalable, secure, and automated data pipelines

  • data lakes / data warehouses

  • Airflow, DBT, Spark, Kafka

  • ETL/ELT processes

  • Work closely with analytics, product, and engineering teams to define data strategy, architecture, and KPIs.

  • Lead and mentor junior and mid-level data engineers, ensuring adherence to best practices and coding standards.

  • CI/CD pipelines

  • Docker and Kubernetes

  • Ensure performance optimization of queries, storage, pipelines, and cloud infrastructure.

  • Drive innovation by evaluating new tools, technologies, and architectural improvements.

Required Skills & Qualifications

Core Technical Skills

  • data processing & workflow automation

  • Expert-level proficiency in Python and SQL

  • Cloud Platforms

  • Airflow, DBT, Spark, Kafka

  • Strong understanding of modern data warehousing technologies:

    • Redshift

    • Snowflake

    • BigQuery

    • Delta Lake

  • CI/CD tools

  • Docker, Kubernetes

Preferred Skills

  • Knowledge of data governance, lineage, metadata management, and observability frameworks.

  • Experience with distributed systems and performance tuning.

  • Familiarity with version control (Git), DevOps practices, and cloud cost optimization.

Soft Skills

  • Strong leadership and mentoring capabilities.

  • Excellent communication and stakeholder management skills.

  • Analytical mindset with a strong problem-solving approach.

  • Ability to work in a fast-paced, data-driven environment.

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