Full Stack Engineer – 47797

MUST HAVES:

5+ yrs of Experience with AWS capabilities; Glue, DynamoDB, Lambda, Redshift, elastic search on large scale / enterprise level deployments

5+ yrs of experience with API and Strong knowledge of Data Integration (e.g. Streaming, Batch, Error and Replay)

5+ yrs of experience with Python, PySpark and Apache Spark

Skills

• Software development experience with Python, PySpark and Apache Spark

• Proficiency in SQL, relational and non-relational databases, query optimization and data modelling.

• Strong knowledge of Data Integration (e.g. Streaming, Batch, Error and Replay) and data analysis techniques.

• Experience with GitHub, Jenkins, and Terraform.

• Experience with Teradata (Vantage) or any RDBMS system/ ETL Tools

• Good experience on designing and developing data pipelines for data ingestion and transformation using Spark.

• Excellent in trouble shooting the performance and data skew issues.

• Working knowledge on the implementation of data lake ETL using AWS glue, Databricks etc.

• Experience with large scale distributed relational and NoSQL database systems.

• Excellent communication skills

• Provide recommendations and design optimal configurations for large-scale deployments.

• Required Skills:

• Python

• SQL

• AWS

• Healthcare

• Data Analytics

• GIT