Description

You will design and implement software engineering solutions across platform development, data processing, and report generation.

Responsibilities

• Design and develop data pipelines for ingestion and transformation using Spark.
• Implement data lake ETL processes using AWS Glue and Databricks.
• Participate in architectural refinement, software design, and concept definition.
• Troubleshoot performance bottlenecks and data skew issues in large-scale deployments.
• Provide technical recommendations for optimal configurations in enterprise environments.

Required Skills

• 5+ years of experience with Python, PySpark, and Apache Spark.
• 5+ years of experience with AWS capabilities including Glue, DynamoDB, Lambda, Redshift, and Elasticsearch.
• 5+ years of experience with API development and data integration (Streaming, Batch, Error, and Replay).
• Strong proficiency in SQL and both relational and non-relational database systems.
• Experience with data modeling and query optimization.
• Hands-on experience with GitHub, Jenkins, and Terraform.
• Knowledge of large-scale distributed database systems.
• Experience with ETL tools or RDBMS systems such as Teradata (Vantage).
• Background in Data Analytics and Healthcare data.

Key Skills

Education

Any Graduate