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Urgent! Mgr Data Engineer - Research Data and Analytics Job Opening In India, India – Now Hiring Confidential

Mgr Data Engineer Research Data and Analytics



Job description

  • Lead, manage, and mentor a high-performing team of data engineers
  • Design, develop, and implement data pipelines, ETL processes, and data integration solutions
  • Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
  • Develop and maintain data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
  • Optimize large datasets for query performance
  • Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs
  • Implement data security and privacy measures to protect sensitive data
  • Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
  • Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
  • Identify and resolve data-related challenges
  • Adhere to best practices for coding, testing, and designing reusable code/component
  • Explore new tools and technologies that will help to improve ETL platform performance
  • Participate in sprint planning meetings and provide estimations on technical implementation

Basic Qualifications:

  • Doctorate Degree OR
  • Masters degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
  • Bachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR
  • Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field

Preferred Qualifications:

  • 3+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms)

Functional Skills:

Must-Have Skills:

  • Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks
  • Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
  • Excellent problem-solving skills and the ability to work with large, complex datasets
  • Able to engage with business collaborators and mentor team to develop data pipelines and data models

Good-to-Have Skills:

  • A passion for tackling complex challenges in drug discovery with technology and data
  • Good understanding of data modeling, data warehousing, and data integration concepts
  • Good experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL)
  • Knowledge of cloud data platforms (AWS preferred)
  • Experience with data visualization tools (e.g. Dash, Plotly, Spotfire)
  • Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming
  • Experience writing and maintaining technical documentation in Confluence
  • Understanding of data governance frameworks, tools, and best practices

Professional Certifications:

  • Databricks Certified Data Engineer Professional preferred

Soft Skills:

  • Excellent critical-thinking and problem-solving skills
  • Good communication and collaboration skills
  • Demonstrated awareness of how to function in a team setting
  • Demonstrated presentation skills


Skills Required
data engineering , Data Modeling, Databricks, Sql, Python, Aws


Required Skill Profession

Computer Occupations



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