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Mondelēz International, Inc. logo

Data Engineer

Mondelēz International, Inc.
NewPosted today

LOCATION

Mumbai · Onsite

EXPERIENCE

4 - 6 Years

TYPE

FullTime

SKILLS REQUIRED

Data PipelinesData EngineeringData WarehousingData ModelingSQLPySparkDatabricksPythonApache Airflow

Job description

Overview

Design, build and maintain scalable, secure and cost-effective cloud-based data solutions as a Data COE Associate Data Engineer, supporting the business analytics agenda with analytics team leaders.

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 teams, product owners and other stakeholders, staying updated with the latest cloud technologies and best practices.
  • Use models and algorithms to uncover signals, patterns and trends to drive long-term business performance.
  • Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver.

What you'll need

  • 4 to 6 years of experience in data engineering with good expertise in the required tech stack.
  • Programming in Python, PySpark and SQL.
  • ETL and integration with Databricks (LDP, Lakeflow Connect, Notebooks) and AecorSoft/DataSphere.
  • Data warehousing: SCD Types, Fact and Dimensions, Star Schema.
  • Dimensional data modelling understanding.
  • Medallion architecture: Bronze, Silver, Gold (Databricks Medallion Architecture).
  • AWS cloud services: S3, Lambda, EC2, Glue, Redshift.
  • Scheduling technologies: Lakeflow Jobs, 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, Python, etc.
  • Erwin tool for data modelling.
  • GenAI exposure: Genie, Kiro, Gemini etc.
  • Visualization: PowerBI, GenBI.

Details

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

Read the full description and apply on the company’s own careers page.

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Data Engineer