Application Developer

AWS Data Engineer Job Description - Primary Skills - AWS RDS: Strong experience with AWS Relational Database Services, including setting up, managing, and optimizing databases in cloud environments

Qlik/Power BI: Expertise in data visualization tools like Qlik and Power BI to design and build dynamic dashboards and reports

SQL: Proficient in SQL for querying databases, data manipulation, and optimization of complex queries

ETL: Extensive experience in designing and implementing ETL (Extract, Transform, Load) processes to ensure smooth data pipeline functionality

Programming (Any): Proficient in at least one programming language (e

g

, Python, Java) for data manipulation, automation, and integration tasks

Azure DevOps: Hands-on experience with Azure DevOps for CI/CD pipelines, automation, and version control

AWS Step Functions: Skilled in building and orchestrating serverless workflows using AWS Step Functions for automation and process management

Secondary Skills - AWS Glue: Basic proficiency in AWS Glue for managing ETL jobs and integrating with data lakes

AWS Athena: Knowledge of AWS Athena for querying large datasets stored in Amazon S3 using standard SQL

AWS Lambda: Basic understanding of AWS Lambda to run serverless applications and event-driven workflows

AWS Data Lake: Familiarity with AWS Data Lake architecture and its use in centralizing and managing data at scale across various sources