Blumetra - Senior Data Engineer - Python/SQL

Description :

About this Position :

Position : Senior Data Engineer (Tableau)

Experience : 7+ Years

Notice Period : Immediate to 30 Days

Work Location : Hyderabad - Hybrid

About the Role :

We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize our data systems and pipelines.

The ideal candidate will have strong expertise in SQL, Python, AWS, and Tableau, and a passion for transforming raw data into actionable insights that drive business decisions.

Key Responsibilities :

- Design, build, and maintain scalable ETL / ELT data pipelines for ingestion, transformation, and storage.

- Work with business stakeholders to identify data requirements and translate them into effective data solutions.

- Develop and optimize SQL queries, stored procedures, and data models for high performance.

- Implement data integration solutions using AWS services such as S3, Glue, Redshift, Lambda, and RDS.

- Collaborate with analysts and business users to enable data visualization and reporting in Tableau.

- Ensure data accuracy, quality, and consistency through validation, testing, and monitoring.

- Automate workflows and data quality checks using Python scripting.

- Support data governance, documentation, and adherence to security and compliance standards.

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Information Technology, or related field.

- 5+ years of hands-on experience in Data Engineering or similar roles.

- Strong expertise in SQL for data extraction, transformation, and optimization.

- Proficiency in Python for data manipulation, automation, and scripting.

- Solid experience with AWS cloud ecosystem (S3, Glue, Redshift, Lambda, IAM, etc.

- Hands-on experience with Tableau for dashboard development and data visualization support.

- Deep understanding of data warehousing, modeling, and ETL design patterns.

- Strong problem-solving skills and ability to work in agile, collaborative environments.

Good to Have :

- Experience with Airflow or other workflow orchestration tools.

- Exposure to Snowflake, Athena, or Data Lake architectures.

- Knowledge of API integration and data streaming tools (Kafka, Kinesis).

- Understanding of CI/CD, Git, and modern DevOps practices in data environments