Sr. Data Engineer (Tableau)

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About The Role

Senior Data Engineer

SQL, Python, AWS, and Tableau

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

• Bachelor’s or Master’s 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.