Project duration: 6+ months
I have listed below a detailed job description for your review.
If you have the required experience and interest, please email me a current resume, along with your responses to the following questions:
*** How much experience in years do you have with Data Engineering?
*** How much experience in years do you have with relational databases?
*** How much experience in years do you have with Cloud-Based Data Platforms?
*** How much experience in years do you have with Google Cloud Platform?
*** How much experience in years do you have with AWS?
*** How much experience in years do you have with Data Warehousing (e.g. BigQuery, SQL, Snowflake)?
*** How much experience in years do you have with Databases (e.g. MS SQL, MySQL)?
*** How much experience in years do you have with Python?
*** How much experience in years do you have with SQL?
*** How much experience in years do you have with Tableau?
*** How much experience in years do you have with Airflow?
*** How much experience in years do you have with ELT tools?
*** How much experience in years do you have with CI/CD pipelines?
*** What is your visa status (, Holder, H1-b, etc.)?
*** What is your desired hourly rate?
*** Where do you currently reside (city, state)?
*** What is your availability to start a new project?
Thank you!
Steven Edelman
Pivotal Solutions, Inc.
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Our client is seeking a Mid-Senior Full-Stack Data Engineer (BI-focused) to join our lean Data and Intelligence team and help build a cloud-based data platform that serves as a single source of truth for business operations.
In this role, you ll have end-to-end ownership of the data lifecycle from ingestion and transformation to modeling and visualization helping unify data across systems and deliver reliable, timely insights that drive business decisions.
Key Responsibilities
- Design, build, and maintain scalable, secure, and high-quality ELT data pipelines
- Implement data validation and quality assurance processes to ensure data integrity
- Perform exploratory data analysis and leverage built-in ML tools (e.g., BigQuery ML, Vertex AI) for forecasting and anomaly detection
- Develop and maintain BI dashboards and reporting solutions to support data-driven decision-making
- Collaborate with cross-functional teams to deliver impactful, data-driven solutions
Technical Qualifications
Education:
- Bachelor s degree in Computer Science, Engineering, or a related quantitative field
Experience:
- 5+ years in data engineering
- 5+ years working with relational databases and SQL
- 3+ years working with cloud-based data platforms (Google Cloud Platform preferred)
Core Technologies:
- Cloud: Google Cloud Platform; AWS (nice to have)
- Data Warehousing: BigQuery (primary); SQL Server, Snowflake
- Databases: MSSQL, MySQL
- Programming: Python, SQL
- BI Tools: Tableau (required); Looker or Power BI (nice to have)
- Other: Airflow, dbt, real-time data streaming, ELT tools (e.g., Fivetran, Airbyte, Stitch), GitHub, CI/CD pipelines, APIs
Core Competencies
- Problem-solving: Strong analytical, debugging, and research skills to resolve process issues or data inconsistencies
- Ownership: End-to-end ownership of data initiatives
- Collaboration: Ability to work effectively with both technical and non-technical stakeholders
- Accountability: Commitment to delivering accurate, reliable, and timely data products
- Team velocity: Focus on improving development efficiency and accelerating deployment of data models
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