Data Engineering Leadership Role

4 days ago


Bhavnagar, Gujarat, India beBeeDataEngineer Full time ₹ 17,00,000 - ₹ 23,00,000
Job Overview

We are seeking an experienced Senior Data Engineer to lead the development of a scalable data ingestion framework that efficiently extracts, transforms, and loads data from diverse sources.

Key Responsibilities:
  • Data Ingestion Framework: Architect, develop, and maintain an end-to-end data ingestion framework that efficiently extracts, transforms, and loads data from diverse sources.
  • Framework Optimization: Utilize AWS services such as AWS Glue, Lambda, EMR, ECS, EC2, and Step Functions to build highly scalable, resilient, and automated data pipelines.
Data Quality & Validation:
  • Validation Processes: Develop and implement automated data quality checks, validation routines, and error-handling mechanisms to ensure the accuracy and integrity of incoming data.
  • Monitoring & Reporting: Establish comprehensive monitoring, logging, and alerting systems to proactively identify and resolve data quality issues.
API Development:
  • Design & Implementation: Architect and develop secure, high-performance APIs to enable seamless integration of data services with external applications and internal systems.
  • Documentation & Best Practices: Create thorough API documentation and establish standards for API security, versioning, and performance optimization.
Required Qualifications:Experience & Technical Skills:
  • Professional Background: At least 5 years of relevant experience in data engineering with a strong emphasis on analytical platform development.
  • Programming Skills: Proficiency in Python and/or PySpark, SQL for developing ETL processes and handling large-scale data manipulation.
  • AWS Expertise: Extensive experience using AWS services including AWS Glue, Lambda, Step Functions, and S3 to build and manage data ingestion frameworks.
  • Data Platforms: Familiarity with big data systems (e.g., AWS EMR, Apache Spark, Apache Iceberg) and databases like DynamoDB, Aurora, Postgres, or Redshift.
  • API Development: Proven experience in designing and implementing RESTful APIs and integrating them with external and internal systems.
  • CI/CD & Agile: Hands-on experience with CI/CD pipelines (preferably with GitLab) and Agile development methodologies.


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