Lead I - Data Engineering

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Overview

Overview We are seeking a highly skilled Senior Data Engineer with 5+ years of experience in building scalable data solutions on the Azure ecosystem. The ideal candidate will have strong hands-on expertise in Databricks, Spark (Java), modern data lake architectures, and end-to-end ETL development.

Mandatory Skills: Azure Cloud,Java,Pyspark


Key Responsibilities

  • Design, develop, and maintain

    scalable data pipelines

    using Azure services and Databricks.
  • Build efficient

    data ingestion and transformation workflows

    using Databricks with

    PySpark

    and

    Delta Lake

    .
  • Develop and optimize ETL pipelines using

    Java

    and

    SQL

    .
  • Implement best practices for

    data modelling

    ,

    data quality

    ,

    governance

    , and

    pipeline performance

    .
  • Work with relational and lakehouse databases including

    PostgreSQL

    and

    Delta Lake

    .
  • Collaborate with cross-functional teams to support

    production workloads

    , including troubleshooting and performance tuning.

Required Skills & Experience

  • 5+ years of hands-on

    data engineering

    experience.
  • Strong working knowledge of the

    Azure ecosystem

    , particularly:
  • Azure Databricks
  • Azure Data Lake Storage (ADLS)
  • Azure Functions
  • Azure Data Factory (preferred)
  • Expertise in

    Apache Spark

    with

    Java

    and

    PySpark

    .
  • Advanced

    SQL

    skills, including query optimization.
  • Strong understanding of

    ETL/ELT methodologies

    and

    data warehousing concepts

    .
  • Experience with

    Delta Lake

    (schema evolution, ACID transactions, time travel).
  • Experience working with

    PostgreSQL

    or similar relational databases.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work proactively in a fast-paced environment.

Preferred Skills

  • Experience with

    CI/CD

    tools such as Azure DevOps and Git.
  • Knowledge of

    Infrastructure as Code (IaC)

    tools such as

    Terraform

    .
  • Exposure to streaming platforms like

    Kafka

    or

    Azure Event Hub

    .
  • Familiarity with

    data governance

    solutions such as

    Azure Purview

    .



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