Senior Data Engineer Jobs Opening in Heineken International BV at Hyderabad
Senior Data Engineer
Job Description
Your Role:
As the Data Engineer in the Data Foundation scope, you have in-depth knowledge of the technical details and how the products work, and you will act as team player in a team of data engineers responsible for the technical configuration, development and integration of products and platforms based on our tech stack, used by specific business processes across OpCos, to better serve their customers.
You will produce high quality code and solutions aligned with architecture and business objectives and ensure on-time delivery. You will be part of team that will drive the end-to-end operations of the platforms, keeping them streamlined, structured, and within service level agreements.
You will collaborate closely with other Data and Analytics teams for efficient development / deployment pipelines.
You will work directly with the Data Engineering Lead, Senior Data Engineer, Product Owner(s) and Product Architect(s), understanding the business needs and translating them into specifications and services in line with overall engineering standards and roadmaps.
You will be expected to be implementing new features, deliver high quality code, follow the agile methodologies and be a team player. The most important part is to be part of the team effort towards value-driven outcomes and the successful completion of tasks. Your proactive approach will be key in maintaining comprehensive documentation and collaborating with your team members through offering help, raising question and actively taking part in all activities
You will serve as a key contributor in refining and driving excellence in solution engineering practices to deliver high-quality solutions throughout the software development lifecycle in our Data landscape.
The role reports directly to the Data Engineering Lead or Chapter Lead.
Must have (all levels):
· Expert in Python, Pyspark and SQL
· Azure Databricks, Unity Catalog, Delta live tables
· Data Modelling & Medallion Architecture
· ETL pipeline design
· Azure Data Factory
· Azure DevOps
· Logging and Monitoring using Azure / Databricks services
· Nice to have:
· Synapse, Fabric, PowerBI, Azure Functions, Azure Logic apps
· GCP & AWS cloud services knowledge
· Azure Networking
· Databricks online table
· Jira
· Shell scripting / Azure CLI knowledge