Job description
- 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.
- Good 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.
- Good to have experience in Excel Formulas like PIVOT, VLOOKUP etc.
- Ability to learn new software and technologies quickly and adapt to an ambitious and fast-paced environment.
- Experience collaborating directly with business users and relevant collaborators
