Lead the design, development, and implementation of data pipelines and ETL workflows.
Manage and optimize workflows to ensure reliable data processing and job scheduling.
Design and implement data solutions in database.
Ability to be creative and proactive with report design and development using little to no documented requirements
Collaborate with cross-functional teams to gather requirements and translate them into scalable data architecture and process designs.
Fostering a culture of continuous improvement and innovation.
Ensure data quality and integrity by implementing standard processes in data governance and validation.
Monitor performance, troubleshoot issues, and optimize data systems for efficiency and scalability.
Stay abreast of industry trends and emerging technologies to ensure continuous improvement of the data engineering practices.

What You Bring / Skills, Capabilities
You should be an experienced (6+)



IT professional with your graduation in Engineering or other equivalent qualification (MCA).
4+ years of relevant work experience in developing & maintaining ETL workflows.
4+ years of relevant work experience in data analytics, reporting tool like Power BI, Tableau, SAC.
4+ years of relevant work experience in SNOWFLAKE or any cloud database with proven knowledge of writing complex SQL queries.
Valuable to have experience in working in EPM tool like JEDOX, ANAPLAN, TM1
Good to have experience in multidimensional database concepts like OLAP, Cube, Dimensions etc.
Good to have experience in developing Power Automate workflows.
Positive to have experience in Excel Formulas like PIVOT, VLOOKUP etc.
Ability to learn new software and technologies quickly and adapt to an ambitious and rapid-paced environment.
Experience collaborating directly with business users and relevant collaborators

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