Lead Data Engineer

5 - 8 years

55 - 60 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Overview

We are seeking a highly skilled Data Engineering Lead to design, build, and optimize scalable data pipelines for our Data Platform. The ideal candidate has strong hands-on experience in PySpark, distributed data processing, and cloud-based data solutions, and expertise in building Data Pipelines.

This role requires leadership skills, technical depth, and the ability to collaborate with cross-functional teams to drive strategic data initiatives.

Key Responsibilities

  • Lead the design, development, and optimization of data pipelines using low Code/No code tool
  • Oversee end-to-end data workflowsfrom ingestion, transformation, and storage to data lakein both batch and streaming environments.
  • Work closely with the product and other teams to understand data requirements and translate them into robust engineering solutions.
  • Ensure data quality, governance, security, and compliance across all data pipelines.
  • Mentor and guide junior data engineers, performing code reviews and establishing engineering best practices.
  • Drive improvements in performance, reliability, and scalability of data infrastructure.
  • Troubleshoot complex data issues and implement long-term fixes.

Required Skills & Qualifications

  • Bachelors or Masters degree in Computer Science, Engineering, or related field.
  • At least 4 years of hands-on experience in data engineering
  • Strong proficiency in distributed data processing frameworks (Spark, PySpark).
  • Strong SQL skills and experience working with relational and NoSQL databases.
  • Demonstrates advanced proficiency in Python for building scalable data pipelines, automating workflows
  • Experience with cloud platforms such as AWS, Azure, GCP
  • Experience building scalable ETL/ELT data pipelines and data lakes/warehouses.
  • Familiarity with workflow orchestration tools (Airflow, ADF, Glue Workflow, etc.)
  • Solid understanding of CI/CD, version control, and DevOps practices.
  • Experience working in agile, collaborative environments.
  • Excellent problem-solving, communication, and leadership skills.

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