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31/05 HR
HR at Recruise India Consulting

Views:68 Applications:16 Rec. Actions:Recruiter Actions:0

Director - Data Engineering - Life Sciences (10-15 yrs)

Delhi NCR/Bangalore Job Code: 1103691

SPECIFIC RESPONSIBILITIES:-

- Assist team in conceptualizing, developing and delivering PoCs and new platforms

- Responsible for designing, deploying, and maintaining analytics environment that processes data at scale.

- Contribute design, configuration, deployment, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, enrichment, and loading of data into a variety of cloud data platforms, including AWS and Microsoft Azure.

- Assist team in developing and delivering PoCs and platforms

- Evaluate new and upcoming analytics solutions and make recommendations for adoption to extend our platform to meet advanced analytics use cases, such as predictive modeling and recommendation engines.

- Data Modelling, Data Warehousing on Cloud Scale using Cloud native solutions.

- Perform development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions

- Strong experience building, maintaining, and improving Data Models / Processing Pipeline / routing in life sciences environments.

- Fluency in common query languages, API development, data transformation, and integration of data streams.

- Strong experience with IQVIA data sets and other large pharma dataset platforms.

- Fluency in multiple programming languages, such as Python, Shell Scripting, SQL, Java, or similar languages and tools appropriate for large scale data processing

REQUIRED KNOWLEDGE, SKILLS AND ABILITIES: -

- Strong experience in Azure, AWS and GCP.

- Experience in big data technologies and cloud-based services for data storage and processing, data lake, data mart

- Demonstrable knowledge of SQL and relational databases, data engineering & ETL tools

Experience with acquiring data from varied sources such as: API, data queues, flat-file, remote databases.

- Understanding of traditional Data Warehouse components (e.g. ETL, Business Intelligence Tools) Creativity togo beyond current tools to deliver the best solution to the problem.

- Good Communication Skills.

PREFERRED ACADEMIC QUALIFICATION:

- Bachelor's degree in Engineering or equivalent; Master's degree added advantage.

YEARS OF EXPERIENCE - 6-8 years of experience in Data Engineering in Life Sciences with 10-12 years of cumulative experience

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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