Senior Data Engineer

Job Description

•             Proficient with Python FHIR, Data Bricks and SQL

•             Health Care Domain experince Mandatory

•             Build and manage efficient ETL pipelines using Databricks workflows or other orchestration framework

•             Familiarity with both structured and semi-structured data and ingesting and processing this data using pyspark

•             Fundamental AWS services (S3, SQS) or similar services for other clouds

•             Terraform and GitLab CICD

•             Query tuning and performance optimization in SQL and/or SparkSQL

•             Familiarity with data warehousing (snowflake or similar)

•             Spark SQL

•             AWS, Databricks, Snowflake

•             Experience working for a cloud-based data services provider to large healthcare clients.

•             FHIR experience

•             Spark SQL

•             AWS, Databricks, Snowflake

•             Experience working for a cloud-based data services provider to large healthcare clients.

•             FHIR experience

•             Additional information:

•             Work with clients & implementation team and understand the data distribution requirements

•             Perform data analysis and data mapping required to produce client output.

•             Build the data distribution extracts and scripts

•             Optimize the performance of the data extract scripts