
Data Engineer for Data & Analytics
- Bangalore, Karnataka
- Permanent
- Full-time
- Support the development and maintenance of data architecture and pipelines.
- Support the standardization, customization, and ad hoc data analysis by developing mechanisms that analyze and clean data.
- Utilize AWS technologies to build new integrations for increased data source, volume, and complexity.
- Outline data requirements for gathering and mining large-scale data.
- Support the implementation processes that drive data reconciliation and quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes.
- Participate in the evaluation, implementation, and deployment of emerging tools for analytic data engineering to improve productivity.
- Coordinate with Senior Data Engineers to write unit, integration, and performance test scripts that perform data analysis.
- Support Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives.
- Collaborate with Senior Data Engineers and Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.
- Bachelor’s Degree in Engineering, Computer Science, Data Science, or related field.
- 3-5 year of experience in software development, data science, data engineering, ETL, and analytics reporting development
- Knowledge of designing, building, implementing, and maintaining data and system integrations, understand software being leveraged
- Demonstrated understanding and experience using:
- Data Engineering Programming Languages (i.e., Python, SQL)
- Distributed Data Framework (e.g., Spark)
- Cloud platform services (AWS/ Azure preferred)
- Relational Databases (Postgres/ SQL server)
- DevOps and continuous integration
- AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services
- Knowledge of Data lakes, Data warehouses
- Databricks/Delta Lakehouse architecture
- Code management platforms like Github/ Gitlab/ etc.,
- Job orchestration tools like Tidal/ Airflow
- Understanding of database architecture and administration
- Knowledge of the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases
- Proficient written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
- Willingness to learn and collaborate with Senior and Mid-Level Data Engineers
- Strong problem solving and attention to detail skills
- Ability to work in a fast-paced environment
- Experience working in a global environment
- Ability to support Senior Data Engineers in designing and implementing complex data solutions
- Demonstrated understanding and experience using:
- Knowledge in CDK
- Experience in IICS Data Integration tool
- Job orchestration tools like Tidal/Airflow/ or similar
- Knowledge on No SQL
- Proficiency in leveraging the Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous.
- Databricks Certified Data Engineer Associate and/or AWS Certified Data Engineer
- Competitive Salary + Performance Annual Bonus
- Flexible work environment, including hybrid working
- Comprehensive Healthcare Insurance Plans for self, spouse, and children
- Group Term Life Insurance and Group Accident Insurance programs
- Employee Assistance Program
- Broad Variety of learning platforms
- Diversity, Equity, and Inclusion Programs
- Reimbursements – Home Internet & Mobile Phone
- Employee Referral Program
- Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
- Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.
- As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.