
Data Engineer
3 weeks ago
About Us :
Were a global leader in providing strategic data and insights to help companies accelerate growth. Founded in 2000, we work with Fortune 500 companies and high-growth startups across sectors like eCommerce, healthcare, technology, and financial services. Our solutions include business research, content services, data analytics, data engineering, and AI/ML.
Key Responsibilities :
- Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity.
- Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increase data accessibility and fostering data-driven decision making across the organization.
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Works closely with a team of front-end and backend engineers, product managers, and analysts.
- Defines company data assets (data models), spark, spark SQL, and hive SQL jobs to populate data models.
- Designs data integrations and data quality framework.
Required Skills & Qualifications :
- BS or MS degree in Computer Science or a related technical field
- 5+ years of experience with Hive, Hadoop, Spark, and data warehouse design
- Hands-on experience in Python, SQL, and PySpark
- Exposure to AWS (S3, EMR) or Azure environments
- Familiarity with DevOps and automation (CI/CD, Docker, etc.)
- Experience working with enterprise reporting and data compliance use cases
(ref:hirist.tech)-
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