Sr. Data Engineer

locationicon Gurgaon, Tech | 1+ Year

Roles and Responsibilities

  • Tests, monitors, manage and validate data warehouse activity including data extraction, transformation, movement, loading, cleansing, and updating processes.
  • Building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting.
  • Collaborate with stakeholders to understand, define and document business applications, data sources/relationships, and needs (metrics, dimensions, charts and dashboards).
  • Analyze and Identify new data sources as needed per stakeholder requirements.
  • Working closely with analytics team and other business stakeholders to create data processing frameworks that help the business make sense of growing data.
  • Manage and monitor existing data pipelines and work with other team members to ensure best practices for ETL and data warehousing.
  • Work on optimization of data storage and processing infrastructure to reduce costs.
  • Facilitate integration of different BI tools as needed by business stakeholders.
  • Assist in the design and documentation of data infrastructure and technologies.

Skills Required

  • Proficient in languages: Python.
  • Minimum 2+ years’ experience as Data Engineer.
  • Experience in AWS Stack - Glue, Athena, Quick sight, RDS, Redshift, Kafka, pySparkExperience setting up data pipelines, archiving data, data lakes.
  • Bachelors or Master’s degree in computer science/Maths/statistics or related field.
  • Expertise with designing complex Data Models and Data Engineering solutions.
  • Write complex SQL for processing raw data, data transformations as well as data validations.
  • Experience with infrastructure as code using shell scripting.
  • Hands on experience in working with big data on AWS environments including cleaning/transforming/cataloging/mapping etc.
  • Experience in setup of data warehouse using Amazon Redshift, creating Redshift clusters and perform data analysis queries.
  • Experience in ETL and data modeling on AWS ecosystem components - AWS Glue, Redshift, DynamoDB.
  • Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and AWS Data Pipeline.
  • Certifications on AWS will be an added plus.
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