Data Engineer

IND - 2028 Takeda Innovations India Private Limited; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Takeda Pharmaceutical Co. in Bengaluru is seeking an experienced Data Engineer to build and maintain scalable data pipelines and architectures.

You will collaborate with an agile team to enable advanced analytics, supporting data scientists with data sourcing and preparation for insights that drive business value. The role involves evaluating emerging tools, implementing best practices, and mentoring peers while aligning with enterprise data standards and SDLC.

Qualifications

• Experience designing scalable data architectures and pipelines.
• Strong SQL skills and query optimization.
• Experience with DevOps and CI/CD.
• Familiarity with Spark, Hadoop, and cloud deployments.
• Proficiency in Python, Scala, Java, and C++ for data engineering.
• Knowledge of PL/SQL and MongoDB.
• Understanding of software development methodologies and SDLC.

Responsibilities

• Design, develop, optimize, and maintain data pipelines and architecture.
• Define data requirements and mine large-scale data, validating with data tools.
• Support Data Scientists in data sourcing and preparation for analytics.
• Lead evaluation and deployment of new analytic data engineering tools and processes.
• Develop communication plans on data engineering capabilities and standards.
• Partner with analysts and solutions architects on technical architectures.
• Mentor and coach data and analytic professionals on data practices.

Skills

Scalable data architectures

SQL proficiency

DevOps practices

Software development

Data structures & algorithms

Distributed data tech

System integration

Python/Scala/Java/C++

SQL database management

Kubernetes in cloud

Troubleshooting

PL/SQL & MongoDB

Big Data tooling

Tools

Spark

Hadoop

Kubernetes

MongoDB

Job description

About the role

The Data Engineer collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on integrating and managing data to generate insights, enabling advanced data-driven decision-making capabilities.

How you will contribute

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
• Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various data tools in the Big Data Environment
• Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
• Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
• Mentor and coach other data and analytic professionals on data standards and practices

Skills and qualifications

• Expert in designing and maintaining scalable data architectures, capable of handling complex data systems.
• Proficient in SQL and other data manipulation languages, with a strong ability to optimize and troubleshoot queries.
• Skilled in DevOps practices and continuous integration to enhance workflow efficiencies.
• Experienced in software development methodologies, contributing to both project and operational goals.
• Knowledgeable in data structures and algorithms, enhancing data processing and storage solutions.
• Familiar with distributed data technologies like Spark and Hadoop, capable of managing large-scale data operations.
• Efficient in system integration, ensuring seamless data flow and connectivity across platforms.
• Proficient in programming languages such as Python, Scala, Java, and C++, applying them effectively in data engineering tasks.
• Experienced in SQL database management, performance tuning, and complex query handling.
• Skilled in cloud platform deployment and tools like Kubernetes, optimizing cloud-based data solutions.
• Capable of performing advanced troubleshooting and guiding others through complex problem-solving processes.
• Advanced in PL/SQL and MongoDB, providing guidance and advice on complex database programming and optimization.

R&D domain knowledge in clinical and product engineering data, data engineering and ETL, cloud and application architecture, computerized system validation (CSV), SDLC and release management, operational support of R&D digital platforms

As an experienced professional, you specialize in solving various complex problems, sometimes referring to established precedents and policies. Your work involves analyzing diverse data and selecting appropriate methods for solutions, while networking with senior professionals in your field. You possess a complete understanding of principles, concepts, and industry practices, exerting some influence on organizational objectives. You often work independently under general direction, occasionally leading small project teams, and may represent the organization in contractual or project matters, interacting with senior internal and external personnel. You might also participate in training junior staff.

Locations IND - Bengaluru - Research and Development

Worker Type Employee Worker Sub-Type Regular Time Type Full time

Takeda is an industry-leading, global pharmaceutical company with an unwavering dedication to putting patients at the center of everything we do. We live our values of Takeda-ism – Integrity, Fairness, Honesty, and Perseverance – and are united by our mission to strive towards Better Health and a Brighter Future for people worldwide through leading innovation in medicine. Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. At Takeda, you will make an impact on people’s lives – including your own.

Takeda is an equal opportunity employer.