Role overview

Qualifications

10+ years of practical experience in large enterprise environments; FAANG experience is a notable advantage.
Post-secondary education, preferably a master's degree, ideally in Mathematics or a related field.
Proven success as a practitioner, leader, mentor, and trainer; experience building and maintaining data pipelines and dashboards.
Experience developing real-time data ingestion processes for diverse streaming sources and delivering measurable cost savings through optimizations.

Responsibilities

Identify and optimize performance issues within a globally distributed big data environment and drive performance enhancements across multiple use cases by analyzing data and metadata.
Identify patterns in underperforming queries and common support challenges; collaborate with onshore and offshore teams to achieve shared goals.
Mentor junior practitioners, guide training modules, and refine processes; evaluate emerging data frameworks to expand team capabilities.
Create, present, and drive data-driven modifications addressing cost and performance improvements.

Key facts

Remote from: Anywhere
Full time
Senior (5-10 years)
Data Engineer
English

Other skills

Communication
Leadership
Training And Development
Teamwork
Analytical Thinking
Mentorship
Coaching
Problem Solving

About the company

xcelForce

As your strategic talent partner, xcelForce empowers enterprise leaders to build high-performing, innovative teams. We don't just fill open roles - we take the time to deeply understand your unique needs, then custom-match you with skilled professionals who have the right expertise, independence, and cultural fit to drive measurable business results. Our proven process for identifying top talent allows us to deliver solutions even in situations with restricted budgets without compromising. xcelForce resources will minimize your operational overhead, freeing you up to focus on your most important strategic priorities.

Company details

Company size51 - 200

Links

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Job description

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!

Salary: Commensurate with Experience

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