Responsible for expanding and optimizing our data pipeline architecture.
Leading creation of data architecture that produces data assets to enable our data platform.
Working closely with business leaders, architects, engineers, data scientists and wide range of stakeholders throughout the organization.

Requirements

3-5 years of full-time software engineering experience with at least 2 years in an AWS environment focused on application development.
Bachelor’s degree or foreign equivalent degree in Computer Science, Software Engineering, or related field
Design and implement data ETL frameworks for secured Data Lake, creating and maintaining an optimal pipeline architecture.
Examine complex data to optimize the efficiency and quality of the data being collected, resolve data quality problems, and collaborate with database developers to improve systems and database designs.
Hands-on building data applications using AWS Glue, Lake Formation, Athena, AWS Batch, AWS Lambda, Python, Linux shell & Batch scripting.
Hands on experience with AWS Database services (Redshift, RDS, DynamoDB, Aurora etc.).
Experience in writing advanced SQL scripts involving self joins, windows function, correlated subqueries, CTE’s etc.
An understanding of data management fundamentals, including concepts such as data dictionaries, data models, validation, and reporting.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipeline architecturedata architectureETL frameworksdata LakeAWS GlueLake FormationAthenaAWS BatchAWS LambdaPython

Soft Skills

collaborationleadershipcommunication

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Software Engineering