Data Lakehouse & Data Product Engineer

Purpose & Overall Relevance for the Organization:

- Be part of a team building a state-of-the-art data lakehouse and create data products which are ingested from heterogeneous source systems.
- Opportunity to work in leading-edge technology like Databricks.
- Collaborate with multiple stakeholders to drive the data roadmap by translating stories into data pipelines.
- Learn and build knowledge around data domains and business processes.
- Set the mindset to lifeblood for adidas data-driven strategy by enabling the data backbone, powering AI and BI solutions that produce unseen insights for the entire company.

What You Bring:

- Expert in SAP data models:
- Expert in SAP ECC and SAP S4HANA data models and processes. SAP process knowledge in sales and distribution (SD) is preferred.
- SAP BW Development Experience:
- Strong background in SAP BW Development, with knowledge of SAP ECC and S4HANA versions and their integration with data warehouse solutions.
- Exposure to Spark Architecture:
- Familiarity with Spark, PySpark, and Python is key, especially the willingness to learn and create well-documented, maintainable, and production-ready solutions.
- Strong ETL Build Knowledge:
- Knowledge of Slowly Changing Dimension (SCD) and heterogeneous data harmonization methods.
- Experienced with SQL:




- Foundation in writing and interpreting SQL queries is essential, with the expectation to handle more complex queries.
- Familiarity with Data Tools:
- Familiar with tools such as Databricks and AWS, and have knowledge of different storage formats like Delta, Parquet, Avro, etc.
- Excellent Analytical and Team Leadership Skills:
- Convince with excellent analytical skills, ability to work in a team, as well as lead a team of engineers.

Requisite Education and Experience / Minimum Qualifications:

- Four-year college or university degree with focus on Business Administration or IT or related areas, or equivalent combination of education and experience.
- Proficient spoken and written command of English.
- At least 7 years of experience in IT.
- 5 years of experience in relevant area.
- 2 years of experience in team management.

COURAGE: Speak up when you see an chance; step up when you see a need.

OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.

INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.

TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.

INTEGRITY: Play by the rules. Hold yourself and others accountable to our company's standards.

RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.

📌 Senior Data Engineer (Gurugram)
🏢 Adidas
📍 Gurugram