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Associate Data Engineer-Research Data and Analytics Job Opening In India, India – Now Hiring Confidential


Job description

  • Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
  • Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks
  • Contribute to 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 cross-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
  • Maintain documentation of processes, systems, and solutions

What we expect of you 

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Bachelor's degree and 0 to 3 years of Computer Science, IT or related field experience OR

Diploma and 4 to 7 years of Computer Science, IT or related field experience

Preferred Qualifications:

1+ 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

Good-to-Have

Skills:

  • A passion for tackling complex challenges in drug discovery with technology and data
  • Strong understanding of data modeling, data warehousing, and data integration concepts
  • Strong 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

Professional Certifications: 

Databricks Certified Data Engineer Professional preferred

 

Soft

Skills:

 

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

 


Skills Required
Python, Test Automation, Big Data, Sql, data engineering

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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