We are looking for a top-notch Developer to work on production data pipelines and analytics systems. Your primary responsibility will development of data pipelines supporting digital experiences and analytics systems. Youll collaborate on architecture decisions and develop solutions using on AWS and Databricks.

Interested candidates must be self-motivated, willing to learn, and willing to share new ideas to improve our team and process.

Responsibilities

Develop data pipelines supporting Cigna digital experiences and analytics systems.

Collaborate on architecture decisions and develop solutions using tools inAWS and Databricks.

Production data pipeline development in Spark using Python and SQL on Databricks

Assemble large, complex data sets that meet functional and analytics business requirements.

Develop both batch data processing and real time streaming technologies.

Identify and address bottlenecks in data pipelines to improve performance.

Improve data reliability, efficiency, and quality of data.

Work with stakeholders including Analysts, Product, and Engineering teams to assist with data-related technical issues and support their data infrastructure needs.

Qualifications

Required Skills & Experience :

5 8 years of experience in data systems and analytics development.

Expert in advanced SQL, Spark and Python.

3+ years of experience with Databricks Unity Catalog, Workflows and Autoloader.

Experience developing Big Data pipelines in AWS cloud.

Bachelor Degree in Computer Science , Information Systems, Data Analytics or related.

Experience with Git repository and CI/CD pipeline.

Desired Experience:

Understanding of web and mobile analytics.

Experience with Data Security and managing PII/PHI in production environments.

Understanding of common Big Data file formats: Databricks Delta, CSV, JSON, Parquet, etc

Understanding of Adobe Analytics or Customer Journey Analytics (CJA).

Understanding of the medical insurance industry.

Experience with Terraform code for Databricks job deployment.

Location & Hours of Work

Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate

Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

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