
Senior Data Engineering Lead
2 days ago
A career-defining role awaits an exceptional data leader.
This senior position involves hands-on client work, supporting proprietary data products, and building a high-performing team. The successful candidate will be responsible for designing, implementing, and optimizing data transformation pipelines, data lakes, and cloud-native warehouses for mid- and upper-mid-market clients.
Key Responsibilities Include:
- Deliver complex data engineering projects on time, within budget, and to the highest quality standards.
- Develop and maintain expertise in leading-edge technologies and methodologies.
- Collaborate with cross-functional teams to drive business growth and innovation.
- Mentor and lead junior engineers to achieve their full potential.
- Foster a culture of continuous learning and improvement.
What We Offer:
- A dynamic and supportive work environment.
- Ongoing training and professional development opportunities.
- Competitive compensation and benefits package.
- The chance to make a meaningful impact on our clients' success.
About This Role:
As a seasoned data engineer, you will have a proven track record of delivering high-quality solutions that meet or exceed customer expectations. You will be passionate about staying up-to-date with industry trends and best practices, and you will be able to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
We Are Looking For:
- Extensive experience in data engineering, including design, implementation, and optimization of data transformation pipelines, data lakes, and cloud-native warehouses.
- Proven leadership skills, with a strong ability to motivate and guide high-performing teams.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
- Strong analytical and problem-solving skills, with a keen eye for detail and a passion for delivering high-quality solutions.
- A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
Technical Requirements:
- Proficiency in programming languages such as Java, Python, or C++.
- Experience with data engineering tools and technologies, including Apache Beam, Spark, or Hadoop.
- Familiarity with cloud-based platforms, including AWS or Azure.
- Knowledge of data modeling, data warehousing, and data governance principles.
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