
Lead Data Pipeline Developer
5 days ago
Job Summary:
- The Senior Data Engineer is responsible for leading the development of data pipelines and ensuring they are scalable, reliable, and efficient.
What We're Looking For:
- BS in an Engineering or Science discipline, or equivalent experience.
- 5+ years of software/data engineering experience using Java, Scala, and/or Python, with at least 3 years experience in a data and BI focused role.
- Experience in data integration (ETL/ELT) development using multiple languages (e.g., Python, PySpark, SparkSQL) and data transformation (e.g., dbt).
- Experience building data pipelines supporting a variety of integration and information delivery methods as well as data modelling techniques and analytics.
- Knowledge and experience with various relational databases and demonstrable proficiency in SQL and data analysis requiring complex queries, and optimization.
- Experience with AWS-based data services technologies (e.g., Glue, RDS, Athena, etc.) and Snowflake CDW, as well as BI tools (e.g., PowerBI).
- Willingness to experiment and learn new approaches and technology applications.
- Knowledge of software engineering and agile development best practices.
- Excellent written and verbal communication skills.
As a Senior Data Engineer, you will enjoy:
- Opportunities for career growth and professional development.
- A collaborative and dynamic work environment.
- Competitive salary and benefits package.
- Flexible working hours and remote work options.
To be successful in this role, you should have:
- Strong technical skills and expertise in data engineering.
- Excellent problem-solving and analytical skills.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Proven track record of delivering high-quality results in a timely manner.
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