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Immediate Need - Data Engineering Leader
Salary undisclosed
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This is a remote position.
What you will be doing
- As an active working leader, you will play a pivotal role in our team, responsible for tactically identifying and optimizing performance issues within a globally distributed big data environment. Your expertise will drive performance enhancements across a multitude of use cases, involving the analysis of data and metadata.
- You will excel at identifying patterns within underperforming queries and common support challenges, contributing to the overall efficiency of our systems.
- Collaboration will be key as you engage with both onshore and offshore teams, working together to achieve shared goals.
- Guiding and mentoring junior practitioners to cultivate advanced skills will be a cornerstone of your role. Furthermore, you will be at the forefront of evaluating emerging data frameworks, continuously expanding our team's capabilities.
- Developing training modules and refining processes will be second nature to you, fostering enduring improvements in performance.
- You will be an agent of change, grounded in data insights, as you create, present, and drive impactful modifications that cover aspects like cost and performance.
Requirements
Must have qualifications
- A decade or more of practical experience is essential, specifically within large enterprise environments. Experience with FAANG companies is a notable advantage.
- Possession of a post-secondary education, preferably a master's degree, ideally with a background in Mathematics or a related field.
- Demonstrated success in roles as a practitioner, leader, mentor, and trainer is a must.
- Your track record should include the construction and maintenance of data pipelines and dashboards.
- Proven ability in developing data ingestion processes for real-time analysis from diverse streaming data sources is expected.
- Your personal contributions should have led to measured optimizations resulting in tangible cost savings.
(Note: Please refrain from applying if you do not meet these requirements, as it will save both your time and ours.)
Competencies
- API Development
- AWS: EC2, S3, Lambda
- Big Data Performance Optimization
- BI Tools and Technologies
- Data Interchange
- Data Lake / Warehouse Development
- Data Pipeline Development
- Data Ownership (Quality and Analysis)
- ETL/Data Flow
- Machine Learning and Statistics
- RDBMS Development
Benefits
In addition to compensation, xcelForce provides strong benefit package options: PTO, Vacation, Holidays and Medical, Dental & Vision Insurance, as well as 401k and much more!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job This is a remote position.
What you will be doing
- As an active working leader, you will play a pivotal role in our team, responsible for tactically identifying and optimizing performance issues within a globally distributed big data environment. Your expertise will drive performance enhancements across a multitude of use cases, involving the analysis of data and metadata.
- You will excel at identifying patterns within underperforming queries and common support challenges, contributing to the overall efficiency of our systems.
- Collaboration will be key as you engage with both onshore and offshore teams, working together to achieve shared goals.
- Guiding and mentoring junior practitioners to cultivate advanced skills will be a cornerstone of your role. Furthermore, you will be at the forefront of evaluating emerging data frameworks, continuously expanding our team's capabilities.
- Developing training modules and refining processes will be second nature to you, fostering enduring improvements in performance.
- You will be an agent of change, grounded in data insights, as you create, present, and drive impactful modifications that cover aspects like cost and performance.
Requirements
Must have qualifications
- A decade or more of practical experience is essential, specifically within large enterprise environments. Experience with FAANG companies is a notable advantage.
- Possession of a post-secondary education, preferably a master's degree, ideally with a background in Mathematics or a related field.
- Demonstrated success in roles as a practitioner, leader, mentor, and trainer is a must.
- Your track record should include the construction and maintenance of data pipelines and dashboards.
- Proven ability in developing data ingestion processes for real-time analysis from diverse streaming data sources is expected.
- Your personal contributions should have led to measured optimizations resulting in tangible cost savings.
(Note: Please refrain from applying if you do not meet these requirements, as it will save both your time and ours.)
Competencies
- API Development
- AWS: EC2, S3, Lambda
- Big Data Performance Optimization
- BI Tools and Technologies
- Data Interchange
- Data Lake / Warehouse Development
- Data Pipeline Development
- Data Ownership (Quality and Analysis)
- ETL/Data Flow
- Machine Learning and Statistics
- RDBMS Development
Benefits
In addition to compensation, xcelForce provides strong benefit package options: PTO, Vacation, Holidays and Medical, Dental & Vision Insurance, as well as 401k and much more!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job