Develops and operates modern data engineering solutions to meet key business objectives Contributes to generic frameworks for data ingestion, data processing, data integrations, and data governance Follows best practices for software design, architecture, and implementation Conducts code reviews as a core expectation of the role, providing feedback on logic, design patterns, and correctness with constructive commentary Leverages monitoring tools/processes to ensure platform stability and operational SLAs Extends DevOps capabilities for deploying data solutions Supports creation and adoption of data assets for the organization Works with product owners to address or prevent common pitfalls Bachelor's Degree or higher in Computer Science, Statistics, Business, Information Technology, or related field Minimum 1 years of experience in role delivering and supporting software and data engineering capabilities. Exposure to design and software programming development (design patterns, framework development, etc)



Good in core Python programming language skills (not limited to PySpark or analytical libraries) Good SQL development and analytical skills Understanding of object-oriented programming principles Knowledge of automated code testing (pytest / unittest) and data testing (great expectations / dbt / etc.) Hands-on exposure to analytical tools & services (dbt, Snowflake/BigQuery, Tableau/PowerBI) 1 years of working building enterprise data solutions Proven experience creating data assets used in mission-critical applications Experienced in Agile methodologies Experience in being a member of cross-functional teams. Solid collaborator, team player, and individual contributor Strong communication skills with comfort in speaking with business stakeholders Strong problem solver with ability to manage and lead the team to push the solution and drive progress

📌 Data Engineer II (Bengaluru)
🏢 Kraft Heinz
📍 Bengaluru