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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Assist in designing, developing, and maintaining data pipelines and data models for various integrated analytics solutions
- Support the ingestion, cleaning, transformation, and flow of structured and unstructured data.
- Collaborate with data analysts and business stakeholders to deliver reliable datasets.
- Monitor data workflows, troubleshoot issues, and optimize performance.
- Ensure downstream data quality and integrity.
- Participate in maintaining data documentation, dictionaries, and metadata.
- Learn and apply best practices related to data architecture, data modeling, and data governance.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Statistics, or a related field.
- Foundational experience with: Python, SQL, DAX, Power BI
- Understanding of relational databases
- Proficient use of version control tools such as Git.
- Minimum 2 years hands-on experience in data engineering or data analytics role.
Benefits
Comp & perks- Flexible working hours
- Professional development opportunities
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
PythonSQLDAXPower BIdata pipelinesdata modelsdata ingestiondata transformationdata qualitydata governance
Soft Skills
collaborationtroubleshootingoptimizationdocumentation
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Data EngineeringBachelor’s degree in Software EngineeringBachelor’s degree in Statistics