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Aligned Automation

Business Analyst – Data Engineering

Posted Yesterday
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In-Office
Pune, Maharashtra, IND
Expert/Leader
In-Office
Pune, Maharashtra, IND
Expert/Leader
Business Analyst focused on data engineering and analytics, responsible for requirements gathering, stakeholder management, SQL analysis, data profiling, quality validation, reconciliation, reporting, and documentation. The role requires understanding ETL/ELT, pipelines, data warehousing, data modeling, databases, and Agile delivery. Experience with Python, PySpark, Airflow, cloud data platforms, APIs, and AI/ML data use cases is advantageous.
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About the Job

About Aligned Automation

At Aligned Automation, we live by our "Better Together" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.

Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.

Business Analyst – Data Engineering | 8–12 Years

  • 8–12 years of experience as a Business Analyst / Data Analyst / Data-focused BA.
  • Strong SQL skills and hands-on experience with large datasets.
  • Good understanding of Data Engineering concepts – ETL/ELT, data pipelines, data warehousing, data modelling.
  • Experience with databases such as SQL Server, PostgreSQL, Teradata, Snowflake or similar.
  • Experience in data profiling, data quality, reconciliation and validation.
  • Knowledge of Python/PySpark is an advantage.
  • Experience with Power BI/Tableau and analytical reporting.
  • Strong requirements gathering, documentation, stakeholder management and communication skills.
  • Experience working in Agile/Scrum environments.

Preferred

  • Experience with Airflow, cloud data platforms, APIs and data integration.
  • Exposure to AI/ML or GenAI data use cases.

Ideal Profile:

40% Business Analysis + 40% Data Engineering/Data Analysis + 20% Stakeholder & Delivery Management



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