Job Details

ID #32406036
State Florida
City South florida
Job type Permanent
Salary USD $153,000 - $153,000 annually 153000 - 153000 annually
Source Kforce Technology Staffing
Showed 2022-01-25
Date 2022-01-24
Deadline 2022-03-25
Category Et cetera
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Lead Developer, Cloud Data Engineering

Florida, South florida, 33172 South florida USA

Vacancy expired!

RESPONSIBILITIES:Kforce has a client that is seeking a Lead Developer, Cloud Data Engineering in Miami, FL.

Responsibilities: Lead Developer will act as technical lead in the development and implementation of Data Engineering Solutions Design, build, manage and optimize reusable enterprise data pipelines effectively and in a timely manner Demonstrates effective working relationships with key stakeholders Lead Developer will independently solve technical problems Effectively coach, mentor, and lead other developers Lead Developers work under pressure, maintains composure and professionalism in a developing environment

REQUIREMENTS: Bachelor's degree or relevant certification required 7 or more years of relevant experience Experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional and new data integration technologies (such as ETL, ELT, data replication, change data captures, message-oriented data movement, API design, stream data integration and data virtualization) Experience working with cloud data engineering stacks (i.e.: Azure) and tools (Azure Data Factory, Databricks, Informatica, etc.) Experience working with relational data platforms (SQL Server) including MPPs (Snowflake, Redshift, Synapse, etc.) Proficiency in SQL Querying and Programming Proficiency in one or more Object Oriented or Procedural Programming languages (C#, Java, Python) highly desired Exposure to Spark, Databricks, PySpark and Scala highly desired Exposure to cloud technology stacks (preferably Azure) Must be flexible and manage multiple changing priorities/tasks

Technical Skills: Deep understanding of Data Engineering Stacks and tools (i.e.: Azure Data Factory, Databricks, Informatica, etc.), Data Engineering architectural approaches, Data Engineering Solutions, Software Engineering principles and best practices Strong understanding of relational data platforms (i.e.: SQL Server), including MPPs (Snowflake, Redshift, Azure Synapse) Strong understanding of relational and dimensional data modeling patterns Strong competency with SQL Querying, Programming, and data analysis

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Vacancy expired!

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