Sr. Data Engineer

  • data science
  • Hyderabad
  • 1 week ago
  • $ - $
  • Full Time
  • Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
  • Develop data pipelines to extract and transform data in near real-time using cloud-native technologies.
  • Implement data validation and quality checks to ensure accuracy and consistency.
  • Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency .
  • Collaborate with business users, analysts, and other stakeholders to understand data requirements and deliver tailored solutions.
  • Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.
  • Provide technical guidance and support to team members and stakeholders as needed.
Desirable Competencies:
  • 8+ years of work experience.
  • Proficiency in writing complex SQL queries on MPP systems (Snowflake/Redshift).
  • Experience in Databricks and Delta tables.
  • Data engineering experience with Spark/Scala/Python.
  • Experience in Microsoft Azure stack (Azure Storage Accounts, Data Factory, and Databricks).
  • Experience in Azure DevOps and CI/CD pipelines.
  • Working knowledge of Python.
  • Comfortable participating in 2-week sprint development cycles.
Industry Type: IT Services & Consulting
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate
PG: Any Postgraduate