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Data Engineer | PySpark | Databricks | Azure Data Factory

2 - 5 years

Hyderabad Pune Bengaluru

Posted:1 week ago

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Job Description

Responsibilities

  • Design, develop, and maintain scalable data pipelines using

    PySpark, Spark, Databricks, Azure Data Factory (ADF), and AWS Glue

    .
  • Build and optimize ETL/ELT workflows for processing large-scale structured and unstructured data.
  • Develop and manage cloud-based data solutions on

    AWS, Azure, and GCP

    platforms.
  • Work with

    Databricks, Delta Lake, ADLS, S3, BigQuery, Redshift, and Snowflake

    for data ingestion, transformation, and storage.
  • Implement data quality, monitoring, and performance optimization best practices.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver scalable solutions.
  • Ensure data security, governance, and compliance standards are followed across cloud platforms.
  • Optimize Spark jobs and SQL queries for improved performance and cost efficiency.
  • Support real-time and batch data processing frameworks.
  • Participate in code reviews, troubleshooting, and production support activities.
  • Create technical documentation and maintain data engineering standards and best practices.

Skills Required

Lambda Expressions Data Engineering GCP Azure Data Factory Microsoft Azure Pipeline Glue AWS Lambda

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Work Mode

Hybrid

Job Type

Full Time

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