Digital Health Senior Data Engineer

Posted:
8/27/2024, 5:39:20 PM

Location(s):
Karnataka, India

Experience Level(s):
Senior

Field(s):
Data & Analytics

  • Design, develop and operationalization of a reusable and modular data & analytics platform building upon Alcon’s enterprise IT architecture that enables efficient, consistent, automated value generation from data.
  • Partner with data architects to develop technical architectures for the data and analytic products​.
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and best practices for data governance, data management, and data quality assurance for Digital Health.
  • Participate in Backlog grooming, Spring Planning and effort estimation.
  • Perform data modeling, data analysis and providing insights using various tools.
  • Evaluate, implement and deploy emerging tools and process for data engineering and analytics improve the productivity.  

Foster a culture of creativity, collaboration, speed, innovation, and engineering excellence

  • Bachelor’s degree in computer science, data science, or a related technical discipline.
  • 6+ years of hands-on experience in data engineering, include developing AWS Gateway API, ETL/ElT data pipeline, data platform/products and or data warehouse​.
  • Certified and Experienced AWS developer with a strong background in designing, developing, and implementing integration solutions. Proficient in using AWS Services such as API Gateway, Lambda, dynamo and Glue ETL. Some expertise in MuleSoft / Boomi Integration tools will be an added advantage.
  • 5+ years of hands-on experience in developing data-intensive solutions on AWS, Azure, or GCP for analytics workloads​.
  • 5+ years of experience in designing both ETL/ELT for batch processing and data streaming architectures for real-time or near real-time data ingestion and processing.
  • 5+ years of hands-on experience in two or more database technologies (e.g., MySQL, PostgreSQL, MongoDB) and data warehouses (e.g., Redshift, BigQuery, or Snowflake), as well as cloud-based data engineering technologies (e.g., Kafka, PubSub, Apache Airflow, StepFunctions,Glue)
  • 5+ years of experience in programming in python, scala or java
  • Thrives in dynamic, cross-functional team environments. Possesses a team-first mindset, valuing diverse perspectives and contributing to a collaborative work culture.
  • Approaches challenges with a positive and can-do attitude. Willing to challenge the status quo, demonstrating ability to understand when and how to take appropriate risks to drive performance. 
  • A passionate problem solver.
  • High learning agility

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