Data Engineer

Role Overview

As a Data Engineer based in Hyderabad, you will play a crucial role in developing and maintaining end-to-end data flows from transactional source systems to our global analytics environments and data lakes. Operating in an agile, dynamic organizational structure, you will leverage an entrepreneurial, customer-centric mindset to deliver innovative data solutions, ultimately helping Roche make data-driven decisions that advance healthcare worldwide.

Responsibilities

• Develop and implement data pipelines to efficiently load data from various transactional sources (e.g., SAP, ServiceNow) into our Snowflake-based reporting environment.
• Collaborate closely with Roche Digital Technology (RDT) colleagues to proactively identify, troubleshoot, and resolve issues related to data jobs, connections, and pipelines.
• Partner globally with stakeholders, peers, and cross-functional teams, driving strategic data initiatives and projects across different regions and time zones.
• Work agilely alongside Data Scientists, fellow Data Engineers, and business experts to build and optimize robust data solutions.
• Drive innovation by participating in exploratory projects to evaluate cutting-edge technologies and establish new data services for the organization.

Requirements

• Bachelor’s degree (a Master’s is a plus) in Mathematics, Computer Science, Statistics, Engineering, Information Science, or a related field.
• At least 2 years of mandatory practical experience developing and managing data flows with data loading tools (such as Talend or AWS Glue).
• At least 2 years of experience developing and maintaining Java code.
• Professional experience designing and developing ETL processes utilizing modern storage solutions.
• Solid hands-on expertise in SQL and/or dbt, DataOps pipelines, and Git environments.
• Exceptional communication, networking, and stakeholder management skills.
• Fluency in English.

Skills

• Snowflake
• Java
• SQL
• Talend
• AWS Glue