Sr. Data Engineer

Overview

Design, build and maintain scalable, secure and cost-effective cloud-based data solutions as a Data COE Sr. Data Engineer, supporting business analytics at Mondelēz International.

What you'll do

• Design and implement scalable, secure and cost-effective cloud-based data solutions.
• Develop and maintain data pipelines to extract, transform and load data into data warehouses or data lakes.
• Implement data quality and validation processes to ensure data accuracy and integrity.
• Optimize data processing of pipelines and data storage for optimal retrieval performance.
• Work closely with data architects, data modelers and data product managers, and stay updated with the latest cloud technologies and best practices.
• Guide and groom associate data engineers and data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering guidelines and standards.
• Use models and algorithms to uncover signals, patterns and trends to drive long-term business performance.
• Execute the business analytics agenda in conjunction with analytics team leaders, using a methodical approach that conveys to stakeholders what business analytics will deliver.

What you'll need

• 6 to 10 years of experience in data engineering with high expertise in the required tech stack.
• Programming in Python, PySpark and SQL.
• ETL and integration using Databricks (LDP, Lakeflow Connect, Notebooks) and AecorSoft/DataSphere.
• Data warehousing knowledge of SCD types, fact and dimensions, and star schema.
• Dimensional modelling understanding.
• Medallion architecture (Bronze, Silver, Gold) on Databricks.
• AWS cloud services: S3, Lambda, EC2, Glue, Redshift.
• Scheduling technologies: Lakeflow Jobs and Airflow.
• Using data analysis to make recommendations to analytic leaders.
• Understanding of best-in-class analytics practices.
• Knowledge of KPIs and scorecards.
• Problem-solving, communication, analytical thinking, attention to detail and adaptability.

Nice to have

• Knowledge of BI tools such as Tableau, Excel, Alteryx, R and Python.
• Erwin tool for data modelling.
• PowerBI and GenBI for visualization.
• GenAI exposure: Genie, Kiro, Gemini etc.

Details

• Location: Mumbai, India.
• No relocation support available.
• Job type: Regular.