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Azure Data Engineer (Lead)

Azure Data Engineer (Lead)

Infogain

14 years

0 Lacs

gurugram haryana india

Posted:3 days ago| Platform:

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Skills Required

azure data design databricks pyspark migration strategy orchestration unity code mapping devops automation benchmarking optimization tuning photon auto scaling documentation python gcp hadoop hive spark integration composer git terraform jenkins tracking engineering ai management leadership apache airflow sql

Work Mode

On-site

Job Type

Full Time

Job Description

Roles & Responsibilities

Key Responsibilities

Lead design and execution of Dataproc ? Databricks PySpark migration roadmap.
Define modernization strategy, including data ingestion, transformation, orchestration, and governance.
Architect scalable Delta Lake and Unity Catalog–based solutions.
Manage and guide teams on code conversion, dependency mapping, and data validation.
Collaborate with platform, infra, and DevOps teams to optimize compute costs and performance.
Own the automation & GenAI acceleration layer, integrating code parsers, lineage tools, and validation utilities.
Conduct performance benchmarking, cost optimization, and platform tuning (Photon, Auto-scaling, Delta Caching).
Mentor senior and mid-level developers, ensuring quality standards, documentation, and delivery timelines.

Technical Skills

Languages: Python, PySpark, SQL
Platforms: Databricks (Jobs, Workflows, Delta Live Tables, Unity Catalog), GCP Dataproc
Data Tools: Hadoop, Hive, Pig, Spark (RDD & DataFrame APIs), Delta Lake
Cloud & Integration: GCS, BigQuery, Pub/Sub, Cloud Composer, Airflow
Automation: GenAI-powered migration tools, custom Python utilities for code conversion
Version Control & DevOps: Git, Terraform, Jenkins, CI/CD pipelines
Other: Performance tuning, cost optimization, and lineage tracking with Unity Catalog

Preferred Experience

10–14 years of data engineering experience with at least 3 years leading Databricks or Spark modernization programs.
Proven success in migration or replatforming projects from Hadoop or Dataproc to Databricks.
Exposure to AI/GenAI in code transformation or data engineering automation.
Strong stakeholder management and technical leadership skills.

Experience

11-12 Years

Skills

Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): Python, Apache Hadoop, Apache Hive, Apache Airflow, synapse, databricks, SQL, Apache Spark, Azure Data Factory, Pyspark, GenAI Fundamentals, Cloud Pub/Sub, BigQuery

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Azure Data Engineer (Lead)