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Senior Data Engineer
3 months ago
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.
