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Job Description

The Data Engineering Qualified II collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on generating insights from connected data, 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 tools in the Big Data Setting
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
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
Implement statistical data quality procedures on current data sources by applying rigorous iterative data analytics
Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices

Skills and qualifications:
Applies advanced techniques in data engineering and modeling, capable of leading initiatives and mentoring others.
Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
Demonstrates expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
Skilled in distributed

📌 Data Engineering Professional Ii Bengaluru
🏢 2028 Takeda Innovations India
📍 Bengaluru