FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAmazon RedshiftAWSETLPythonRPASQL
About the role
Key responsibilities & impact- Focus on technical specifications for system solutions related to Data;
- Support business teams in specifying requirements;
- Work with IT architecture on functional and adaptive definitions of technological guidelines for the Elgin environment;
- Develop and maintain data pipelines (ETL/ELT) in an AWS environment;
- Ingest, transform, and load data from various sources (internal and external);
- Write and optimize queries using ANSI SQL;
- Support data modeling (data marts, analytical layers, and dataset structuring);
- Monitor data routines, ensuring data quality, consistency, and availability;
- Identify and resolve failures in pipelines and data processes;
- Collaborate with BI and business teams to understand data requirements;
- Assist in documenting processes, pipelines, and the data dictionary;
- Follow data governance, versioning, and information security best practices;
- Contribute to continuous improvements in data architecture and existing processes.
Requirements
What you’ll need- Degree in computer science, engineering, or data-related field;
- Desirable courses: APIs, Agile methodologies, Quality Assurance, Databases, ANSI SQL, Azure (data), AWS (data), Middleware;
- Mandatory knowledge of ANSI SQL (joins, subqueries, CTEs, aggregations, basic optimization);
- Familiarity with data modeling (dimensional and/or relational);
- Basic knowledge of ETL/ELT processes;
- Experience or familiarity with cloud environments (preferably AWS);
- Basic programming knowledge for data using Python; understanding of data quality and governance concepts;
- Mandatory knowledge of AWS services such as: S3, AWS Glue, Athena, Redshift;
- Knowledge of orchestration tools; understanding of Data Lake and Data Warehouse concepts;
- Power BI;
- Office 365 suite;
- Productivity and connectivity tools: OneDrive, GIT, Azure DevOps platform (desirable);
- Basic object-oriented programming concepts;
- Knowledge of APIs;
- Understanding of microservices;
- ETL tools, Python, solid RPA concepts, SQL, Data visualization tools.
Benefits
Comp & perks- Comprehensive medical coverage for you and your dependents
- Optional dental coverage
- Meal allowance
- TotalPass
- Exclusive discounts on Elgin products
- Life insurance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ANSI SQLETLELTdata modelingPythonAWSdata qualitydata governanceorchestration toolsdata visualization
Soft Skills
collaborationdocumentationproblem-solvingcontinuous improvement
