Senior Data Engineer
Takeda Pharmaceutical Company LimitedMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTakeda brand, Bangalore location, and a generalist Senior Data Engineer title increase candidate competition.
Core data engineering skills (Spark, SQL, cloud, Python) are highly transferable across industries.
Broad mandatory data engineering technologies and seniority imply moderate filtering without explicit years.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, optimize, and maintain scalable data architectures and ETL pipelines to meet business goals.
Support data scientists by sourcing and preparing large-scale structured and unstructured data to generate commercial insights.
Lead adoption of emerging analytic data engineering tools and mentor data professionals on data standards and practices.
Minimum Requirements
Strong expertise in SQL, PL/SQL, MongoDB, distributed data technologies (Spark, Hadoop), and programming languages including Python, Scala, Java, and C++.
Experience with DevOps practices, continuous integration, cloud platform deployment, and Kubernetes.
Work Experience Required: Not explicitly mentioned in the JD.
Location requirement: Bengaluru, India.
Ideal Candidate Profile
Experienced in independently handling complex data engineering problems with broad understanding of principles and industry practices.
Capable of influencing organizational objectives, occasionally leading small project teams and representing the organization in technical and contractual discussions.
Skilled at mentoring junior staff and collaborating with multidisciplinary Agile teams and senior professionals.