Junior Data Engineer
Junior Data Engineer
Posted on :
05-06-2025
Employer Active
1 Vacancy
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Job Description
About Infinitive:
Infinitive is a data and AI consultancy that enables its clients to modernize monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients culture while bringing the right mix of talent and skills to enable high return on investment.
Infinitive has been named Best Small Firms to Work For by Consulting Magazine 7 times most recently in 2024. Infinitive has also been named a Washington Post Top Workplace Washington Business Journal Best Places to Work and Virginia Business Best Places to Work.
Job Summary:
We are seeking a motivated Junior Data Engineer to support our data engineering initiatives by building and maintaining scalable data pipelines on AWS. The ideal candidate has 12 years of hands-on experience with Python PySpark and cloud-based data platforms and is eager to grow their technical skills in a fast-paced collaborative environment.
Key Responsibilities:
Required Qualifications:
Preferred Qualifications:
Infinitive is a data and AI consultancy that enables its clients to modernize monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients culture while bringing the right mix of talent and skills to enable high return on investment.
Infinitive has been named Best Small Firms to Work For by Consulting Magazine 7 times most recently in 2024. Infinitive has also been named a Washington Post Top Workplace Washington Business Journal Best Places to Work and Virginia Business Best Places to Work.
Job Summary:
We are seeking a motivated Junior Data Engineer to support our data engineering initiatives by building and maintaining scalable data pipelines on AWS. The ideal candidate has 12 years of hands-on experience with Python PySpark and cloud-based data platforms and is eager to grow their technical skills in a fast-paced collaborative environment.
Key Responsibilities:
- Develop test and maintain data pipelines using Python and PySpark
- Ingest transform and clean structured and semi-structured data from multiple sources
- Collaborate with senior data engineers and analysts to support data infrastructure needs
- Deploy and monitor data workflows on AWS using services like S3 Lambda Glue and EMR
- Document processes data models and pipeline logic clearly for stakeholders
- Troubleshoot data issues and assist in performance tuning of jobs and queries
Required Qualifications:
- Bachelors degree in Computer Science Data Engineering Information Systems or related field
- 12 years of hands-on experience with Python and PySpark
- Working knowledge of AWS cloud services (e.g. S3 Lambda Glue EMR)
- Proficiency with SQL for querying and data manipulation
- Basic understanding of data warehousing concepts and ETL processes
- Familiarity with version control systems like Git
Preferred Qualifications:
- Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions
- Exposure to data cataloging and metadata management tools
- Understanding of data lake and data warehouse architectures (e.g. Redshift Snowflake BigQuery)
- Ability to work in Agile development environments
- Strong problem-solving and communication skills
Required Experience:
Junior IC
Employment Type
Full-Time
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