Senior Data Engineer
2 weeks ago
Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.
Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.
Description:
Ideal candidate will have a deep understanding and knowledge of advanced data engineering, predictive modeling, and deep learning. The goal is to automate processes, reduce costs, and scale operations proactively as data volume increases.
Responsibilities:
- Lead the development and optimization of data pipelines and ETL processes using Databricks.
- Collaborate with teams who work on Integrating diverse data sources and apply business rules for predictive modeling.
- Collaborate with internal teams to generate Next Best Actions (NBA) for field representatives.
- Have a deep understanding and knowledge of AI/ML and ML Ops platforms to enhance data processing capabilities.
- Work with commercial teams to process and analyze structured data inputs.
- Ensure seamless handover and collaboration with existing teams.
- Mentor junior engineers and provide technical leadership.
Required Skills and Experience:
- 7-10 years of experience in Data Engineering and related streams.
- Proficient in SQL, Python, and Spark.
- Extensive experience with Databricks on AWS.
- Strong understanding of AI/ML concepts and ML Ops platforms, particularly the Arise platform.
- Proven ability to develop and optimize data engineering pipelines.
- Experience with predictive modeling and business rule application.
- Excellent collaboration and communication skills.
- Demonstrated ability to lead projects and mentor junior engineers.
Preferred Qualifications:
- Familiarity with commercial data processing and forecasting models.
- Background in handling large-scale data operations and integration.
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