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High-Performance Data Engineer

2 weeks ago

Gurgaon, Haryana, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

**Job Summary**

We are seeking an experienced Data Engineer to design, develop, and manage scalable data pipelines using AWS services.

  • Key Responsibilities:
  • Design, develop, and maintain ETL pipelines using AWS Glue, Databricks, Apache Spark, and Python to process structured and unstructured data from diverse sources.
  • Build and orchestrate data workflows integrating with services such as AWS Lambda, Step Functions, S3, and Redshift, ensuring high availability and performance.
  • Optimize Spark jobs for performance and cost-efficiency across Databricks and AWS Glue environments using partitioning, job bookmarks, and dynamic frame operations.
  • Develop and maintain secure data solutions in AWS, leveraging IAM roles, KMS encryption, and VPC-based security to meet compliance and governance standards.
  • Migrate legacy ETL jobs and data from on-prem systems to cloud-native architectures on AWS Glue, Redshift, and DynamoDB.
  • Implement and monitor data pipeline performance, performing debugging and tuning of Spark jobs to ensure reliable execution and minimal downtime.
  • Collaborate in the design and review of technical solutions, translating business requirements and user stories into scalable data engineering architectures.
  • Perform unit testing and data validation to ensure functional correctness of pipelines before deployment.
  • Lead production deployment and coordinate with release management to ensure seamless delivery of data solutions.
  • Recommend cost-effective, secure, and high-performing cloud-based data solutions, reducing manual overhead and operational burden.
  • Contribute to backup, disaster recovery, and business continuity strategies for critical data assets.

Requirements:

  • Experience in designing, implementing data pipelines, building data applications, and data migration on AWS.
  • Strong experience in implementing data lake using AWS services like Glue, Lambda, Step, Redshift, and Databricks.
  • Advanced programming skills in Python for data processing and automation, hands-on experience with Apache Spark for large-scale data processing, and proficiency in SQL for data querying and transformation.

About Us

We are a leading technology services company delivering lasting value for leading enterprises globally. Our team is dedicated to providing innovative data engineering solutions that drive business success.