Data Engineer - Immediate Joiners only

Location: Remote (United States)
Job Type: Full-time
Experience: 4+ Years

About the Role

We are seeking a skilled Data Engineer to join our team and help build scalable, reliable, and high-performance data solutions. In this role, you will design and maintain production-grade data pipelines, develop ETL frameworks, and create governed datasets that support analytics and business decision-making. You'll collaborate closely with Analytics, Data Science, DevOps, and Engineering teams to deliver robust data platforms.

Key Responsibilities
- Design, build, and maintain scalable, production-grade data pipelines.
- Develop and maintain foundational data tables for business reporting and analytics.
- Build and optimize self-service ETL frameworks for batch and streaming data.
- Migrate, validate, and optimize data assets while ensuring data accuracy and quality.
- Integrate schema registries into ETL workflows and establish end-to-end data lineage.
- Monitor pipeline performance and implement data governance and quality standards.




- Collaborate with cross-functional teams to deliver scalable and reliable data solutions.
- Participate in code reviews, CI/CD deployments, and continuous improvement initiatives.

Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
- 4+ years of qualified experience as a Data Engineer or in a similar role.
- Strong experience building production-grade data pipelines and transforming data into analytics-ready datasets.
- Proficiency in SQL, Python, Apache Spark (PySpark), and AWS Glue.
- Hands-on experience with Snowflake, Amazon Redshift, or Teradata.
- Strong understanding of data governance, data lineage, data quality, and pipeline monitoring.
- Experience with CI/CD processes using GitHub or Bitbucket.
- Experience working in Agile environments using JIRA and Kanban.
- Excellent analytical, problem-sol

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