Role: Data Engineer Duration: 06 months Location: Remote is fine (PST hours only)
Seeking for a well experienced Data Engineer with strong expertise in Python, PySpark, and Databricks to design, develop, and optimize scalable data pipelines and data processing solutions. The ideal candidate will have hands-on experience with big data technologies, cloud platforms, and modern data engineering practices. The ideal candidate is a strategic thinker with a developer's mindset, someone who understands the data warehouse and data modelling concepts, can directly solves business problems. Candidate should have experience in cloud platforms and should have working experience in Spark performance tuning and optimization techniques and need to work in Agile environment.
Key Roles and Responsibilities: • Design, develop, and maintain scalable ETL/ELT pipelines with optimized data processing workflows in Databricks using Python and PySpark. • Integrate data from multiple source systems into enterprise data platforms. • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and to implement data governance, security, and best practices. • Lead and mentor offshore and onshore data engineering teams, ensuring successful project delivery. • Need to be flexible for working on PST hours.
Applicant Notices & Disclaimers
For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $53.57/hr - $54.49/hr.
