
Principal Data Engineer
2 days ago
- Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and integrate data from various sources.
- Implement real-time data streaming and batch processing solutions to support diverse business needs.
- Build and optimize data storage solutions, including data lakes, data warehouses, and databases.
- Ensure data systems and pipelines are scalable, secure, and performant.
- Clean, transform, and prepare raw data into usable formats for analytics and machine learning.
- Collaborate with Data Scientists and Analysts to define data requirements and deliver solutions.
- Monitor the performance and reliability of data pipelines and systems, implementing improvements where necessary.
- Troubleshoot and resolve data-related issues, ensuring minimal downtime.
- Implement and enforce data quality checks, validation processes, and monitoring mechanisms.
- Collaborate with Data Governance teams to ensure data complies with organizational standards and policies.
- Work closely with cross-functional teams, including Data Architects, Analysts, and Business Teams, to understand requirements and deliver data solutions.
- Provide technical expertise and guidance on data engineering best practices.
- Stay updated on emerging tools, technologies, and industry trends.
- Evaluate and recommend technologies to enhance data engineering capabilities.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 7 to 8 years of experience as a Data Engineer or in a similar role, with expertise in building and maintaining data pipelines and infrastructure.
- Hands-on experience with big data tools, cloud platforms, and data integration techniques.
- Expertise in SQL and working with relational and NoSQL databases.
- Experience with data orchestration tools (e.g., ODI, SSIS, Apache Airflow, dbt, Prefect).
- Proficiency in programming languages like Python, Java, or Scala.
- Familiarity with data processing frameworks (e.g., Apache Spark, Kafka).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work in a fast-paced, team-oriented environment.
Benefits
- Competitive salary
- Fuel Card
- Health benefits
- Professional development opportunities
- Inclusive work culture & much more
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