Job Summary

- A senior data engineer designs and leads the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems. Individuals in this role will:
- Recognize opportunities to reuse existing data flows
- Lead the build of data streaming systems
- Optimize the code to ensure processes perform optimally

Responsibilities

- Lead work on database managementA senior data engineer designs and leads the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems. Individuals in this role will:
- Recognize opportunities to reuse existing data flows Lead the build of data streaming systems
- Lead work on database management Communicating Between Technical and Non-Technical Colleagues
- Communicate effectively with technical and non-technical stakeholders
- Support and host discussions within a multidisciplinary team, with potentially difficult dynamics
- Be an advocate for the team externally, and can manage differing perspectives Data Analysis and Synthesis
- Undertake data profiling and source system analysis
- Present transparent insights to colleagues to support the end use of the data Data Development Process
- Design, build and test data products that are complex or large scale
- Build teams to complete data integration services Data Innovation Understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage Data Integration Design
- Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines Data Modeling
- Produce relevant data models across multiple subject areas
- Explain which models to use for which purpose
- Understand industry-recognized data modelling patterns and standards, and when to apply them
- Compare and align different data models Metadata Management




- Design an appropriate metadata repository and present changes to existing metadata repositories
- Understand a range of tools for storing and working with metadata
- Provide oversight and advice to more inexperienced members of the team Problem Resolution
- Respond to problems in databases, data processes, data products and services as they occur Initiate actions, monitor services and identify trends to resolve problems
- Determine the appropriate remedy and assist with its implementation, and with preventative measures Programming and Build
- Use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations
- Collaborate with others to review specifications where appropriate Technical Understanding Understand the core technical concepts related to the role, and apply them with guidance Testing
- Review requirements and specifications, and define test conditions
- Identify issues and risks associated with work
- Analyze and report test activities and results
- Key Working Relations Key Working Relationship:
- Product Managers
- UX Designers
- Data Scientists
- Data Architects
- Data Engineers
- Data Stewards
- Enterprise Architects
- Software Engineers
- Relevant business leaders and stakeholders

Who You Are

- Bachelor/Master s degree in Computer Science, Engineering, or a related field.
- 7 to 8 yrs+ years of working experience in the field of Data & Analytics
- Strong problem solving and analytical skills. Excellent interpersonal and communication skills, active listening, consulting, challenging, presentation skills.
- Fluent in English, both written & spoken, intercultural awareness and willingness to travel

Location: Bangalore, Karnataka, India

Division: Enabling Functions

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr. Data Engineer (Bengaluru)
🏢 Bayer Zydus Pharma
📍 Bengaluru