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Bareilly | Expertini

Urgent! AWS Databricks + Mongo DB ( Full-time at a Fortune 500 tech MNC ) Job | HARP

AWS Databricks + Mongo DB ( Full time at a Fortune 500 tech MNC )



Job description

JOB DESCRIPTION/ REQUIREMENT

Role Overview:

We are looking for a Senior Data Engineer with 5+ years of experience in Big Data technologies .

The ideal candidate will have strong hands-on experience in Spark , PySpark , and Databricks , and be capable of building scalable and reliable data pipelines.

Knowledge of DevOps practices and containerization tools is a plus.

Primary Responsibilities:

  • Develop and maintain scalable data pipelines for large-scale data processing.

  • Translate business requirements into technical specifications and efficient ETL code.

  • Work independently to develop and optimize Spark/PySpark pipelines.

  • Write complex business logic using PySpark and Spark SQL.

  • Understand and manage Spark clusters and parallel data processing.

  • Develop unit tests for ETL components to ensure data integrity and quality.

  • Build modular, reusable code functions to streamline development.

  • Work with Athena: create tables, indexes, and write complex SQL queries.

  • Integrate data from relational databases (Oracle, SQL Server) and NoSQL databases (e.g., MongoDB).


Technical Skills Required (Primary):

  • Apache Spark , PySpark , Spark SQL
  • Databricks
  • Python (for Data Engineering use cases)
  • Relational Databases : Oracle, SQL Server
  • NoSQL : MongoDB
  • Big Data Architecture and scalable pipeline design
  • Java or Scala (good to have)


Secondary/Desirable Skills:

  • AWS IAM: Role and policy creation
  • Docker: Image creation and container management
  • Camunda: Workflow orchestration and process management
  • Kubernetes: Container orchestration (good to have)


Required Skill Profession

Other General



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