Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.
| | |
| Client Industry | |
| Full Job Description | See Primary Skills |
| Visa Restrictions | MUST BE ABLE TO CONVERT WITHOUT SPONSORSHIP |
| Locals Only/ Out of Area/ Remote | Plantation FL - 4x/Onsite |
| Interview Type (Phone Video Face to Face) | Video |
| Anticipated Start (in weeks) | 2 |
| 3-5 Must Haves | - Education: Bachelors degree in Computer Science Data Engineering or a related technical field required.
- Experience: 5 years of progressive experience as a Data Engineer with a strong focus on cloud-based data platforms.
- Deep Databricks Expertise: Extensive experience with Spark (PySpark/Scala) Delta Lake Unity Catalog Databricks SQL and platform administration.
- Data Modeling: Proven experience with dbt for data modeling transformation and testing.
- Infrastructure as Code (IaC): Strong proficiency with Terraform for defining provisioning and managing cloud infrastructure and Databricks resources as code.
- DevOps & CI/CD: Expertise in Git and GitHub Actions for version control and implementing robust CI/CD pipelines.
- Programming: Proficiency in SQL and at least one programming language (Python strongly preferred Scala is a plus).
- Data Architecture: Solid understanding of data warehousing data lake and lakehouse architectures.
|
Required Skills : * Bachelor s degree in Computer Science Data Engineering or related field * 5 years as a Data Engineer with strong cloud-based platform expertise * Deep experience with PySpark/Scala Delta Lake Unity Catalog and Databricks SQL * Data Modeling: Hands-on experience with dbt for transformations and testing * Technical Expertise: Databricks and Spark * Architecture: Solid understanding of data warehousing data lakes and Lakehouse architectures * Infrastructure as Code: Proficiency in Terraform for cloud resource management * CI/CD and DevOps: Expertise in Git GitHub Actions and automation * Programming: Strong in Python and SQL (Scala is a plus) * Strong problem-solving skills and ability to work collaboratively across teams
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Rank :B3
Requested Date :
Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn. Client Industry Full Job Description See Primary Skills Visa Restrictions MUST BE ABLE TO CONVERT WITHOU...
Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.
| | |
| Client Industry | |
| Full Job Description | See Primary Skills |
| Visa Restrictions | MUST BE ABLE TO CONVERT WITHOUT SPONSORSHIP |
| Locals Only/ Out of Area/ Remote | Plantation FL - 4x/Onsite |
| Interview Type (Phone Video Face to Face) | Video |
| Anticipated Start (in weeks) | 2 |
| 3-5 Must Haves | - Education: Bachelors degree in Computer Science Data Engineering or a related technical field required.
- Experience: 5 years of progressive experience as a Data Engineer with a strong focus on cloud-based data platforms.
- Deep Databricks Expertise: Extensive experience with Spark (PySpark/Scala) Delta Lake Unity Catalog Databricks SQL and platform administration.
- Data Modeling: Proven experience with dbt for data modeling transformation and testing.
- Infrastructure as Code (IaC): Strong proficiency with Terraform for defining provisioning and managing cloud infrastructure and Databricks resources as code.
- DevOps & CI/CD: Expertise in Git and GitHub Actions for version control and implementing robust CI/CD pipelines.
- Programming: Proficiency in SQL and at least one programming language (Python strongly preferred Scala is a plus).
- Data Architecture: Solid understanding of data warehousing data lake and lakehouse architectures.
|
Required Skills : * Bachelor s degree in Computer Science Data Engineering or related field * 5 years as a Data Engineer with strong cloud-based platform expertise * Deep experience with PySpark/Scala Delta Lake Unity Catalog and Databricks SQL * Data Modeling: Hands-on experience with dbt for transformations and testing * Technical Expertise: Databricks and Spark * Architecture: Solid understanding of data warehousing data lakes and Lakehouse architectures * Infrastructure as Code: Proficiency in Terraform for cloud resource management * CI/CD and DevOps: Expertise in Git GitHub Actions and automation * Programming: Strong in Python and SQL (Scala is a plus) * Strong problem-solving skills and ability to work collaboratively across teams
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Rank :B3
Requested Date :
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