Hybrid Senior Data Engineer

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About the role

  • Senior Data Engineer responsible for designing and implementing ETL pipelines. Collaborating with cross-functional teams to ensure data quality and optimizing data workflows with AWS tools.

Responsibilities

  • Design and implement robust ETL pipelines using AWS Glue, Lambda, and S3.
  • Monitor and optimize the performance of data workflows and batch processing jobs.
  • Troubleshoot and resolve issues related to data pipeline failures, inconsistencies, and performance bottlenecks.
  • Collaborate with cross-functional teams to define data requirements and ensure data quality and accuracy.
  • Develop and maintain automated solutions for data transformation, migration, and integration tasks.
  • Implement best practices for data security, data governance, and compliance within AWS environments.
  • Continuously improve and optimize AWS Glue jobs, Lambda functions, and S3 storage management.
  • Maintain comprehensive documentation for data pipeline architecture, job schedules, and issue resolution processes.

Requirements

  • Strong experience with Data Engineering practices.
  • Experience in AWS services, particularly AWS Glue, Lambda, S3, and other AWS data tools.
  • Proficiency in SQL, python , Pyspark, numpy etc and experience in working with large-scale data sets.
  • Experience in designing and implementing ETL pipelines in cloud environments.
  • Expertise in troubleshooting and optimizing data processing workflows.
  • Familiarity with data warehousing concepts and cloud-native data architecture.
  • Knowledge of automation and orchestration tools in a cloud-based environment.
  • Strong problem-solving skills and the ability to debug and improve the performance of data jobs.
  • Excellent communication skills and the ability to work collaboratively with cross-functional teams.
  • Good to have knowledge of DBT & Snowflake

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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