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5-7 Years
Not Disclosed
  • Posted 2 hours ago
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Job Description

Job Description: AWS PySpark Data Engineer

Job Title: AWS PySpark Data Engineer

Experience:5+ Years

Location:Indore

Job Summary

We are looking for an experienced AWS PySpark Data Engineer with strong hands-on expertise in building scalable data engineering solutions on AWS. The role will focus on developing and optimizing ETL/ELT pipelines, processing large-scale datasets using PySpark/Spark, and building cloud-native data solutions using AWS services.

Mandatory Skills

  • 5+ years of overall experience
  • PySpark / Apache Spark
  • Python
  • SQL
  • AWS Glue
  • Amazon S3
  • AWS EMR
  • AWS Lambda
  • Amazon Redshift
  • ETL/ELT development
  • Data Lake/Data Warehouse concepts
  • Large-scale/distributed data processing

Key Responsibilities

  • Design, develop and maintain scalable ETL/ELT pipelines using PySpark.
  • Build data ingestion and transformation frameworks on AWS.
  • Process large volumes of structured, semi-structured and unstructured data.
  • Develop and optimize Spark/PySpark workloads.
  • Build cloud-native Data Lake and Data Warehouse solutions.
  • Implement data quality, validation, monitoring and governance.
  • Monitor and troubleshoot production data pipelines.
  • Participate in CI/CD, deployments and Agile delivery.
  • Work closely with data architects, analytics teams and business stakeholders.

AWS Technology Stack

Core: S3, Glue, EMR, Lambda, Redshift

Additional: Athena, IAM, CloudWatch, Step Functions

Good-to-Have

  • Databricks
  • Apache Kafka
  • Apache Airflow
  • Snowflake
  • Delta Lake
  • Terraform
  • Docker/Kubernetes
  • Streaming data pipelines

More Info

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