Sr. Data Engineer

1 week ago


Hyderabad, Telangana, India Blumetra Full time ₹ 8,00,000 - ₹ 16,00,000 per year

Job Title: Senior Data Engineer

Experience: 6 - 8 years
Location: Hybrid
Employment Type: Full-time

Mandatory skills: AWS, Python, SQL, Databricks

About the Role

We are looking for a highly skilled Senior Data Engineer who is passionate about building robust, scalable, and high-performance data systems. The ideal candidate will have deep expertise in SQL, Python, AWS, and Databricks, with a proven track record of designing and implementing modern data pipelines and analytical frameworks.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes for data ingestion, transformation, and storage.
  • Work with cross-functional teams to define and deliver data solutions supporting business and analytics needs.
  • Optimize and fine-tune SQL queries, data models, and pipeline performance.
  • Build and manage data workflows in Databricks and integrate with AWS data services (S3, Redshift, Glue, Lambda, etc.).
  • Ensure data accuracy, consistency, and reliability through data quality checks and monitoring frameworks.
  • Collaborate with Data Scientists, Analysts, and Product teams to enable self-service analytics and advanced data-driven insights.
  • Follow best practices for data governance, security, and compliance.
  • Continuously evaluate emerging data technologies and propose innovative solutions for process improvement.

 Required Skills & Qualifications

  • Bachelor's or master's degree in computer science, Information Technology, or a related field.
  • 5+ years of hands-on experience in Data Engineering or related roles.
  • Strong proficiency in SQL for complex query development and data manipulation.
  • Expertise in Python for building data processing and automation scripts.
  • Experience with AWS ecosystem — especially S3, Glue, Redshift, Lambda, and EMR.
  • Hands-on experience with Databricks for data processing, transformation, and analytics.
  • Experience working with structured and unstructured datasets in large-scale environments.
  • Solid understanding of ETL frameworks, data modeling, and data warehousing concepts.
  • Excellent problem-solving, debugging, and communication skills.

 Good to Have

  • Experience with Airflow, Snowflake, or Kafka.
  • Knowledge of CI/CD pipelines and Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
  • Exposure to data governance, metadata management, and data cataloguing tools.


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