Data & Automation Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

ClearBridge Investments is looking for a Data & Automation Engineer to join their New York-based Applications Development & Support team. This individual will be part of a newly minted Data & Automation group responsible for all data-related initiatives of the company.

Key Responsibilities and Duties Include, but not Limited to:

• Build data platforms, data architectures, data products, and data pipelines, needed to enable data analysts and making data driven decisions. 
• Design, implement and maintain data models, manage datasets pertinent to the investment life cycle, asset-level and financial operations data
• Participate in the full lifecycle of ETL software development - analysis, design, implementation, documentation, and testing
• Drive the onboarding and attribution of newly acquired datasets into our data environment; manage all aspects of the loading process
• Proactively look for opportunities to optimize data loading structures and develop innovative approaches to improve the onboarding and integrity of the data
• Create and execute unit tests on all solutions and work with QA engineers to ensure integration tests are complete.

Ideal Qualifications and Experience:

• 3+ years of experience as a data & automation engineer with extensive experience in architecting data warehouses, data lakes, and data platforms for consumption by analytics and data science/ML.
• Extensive experience in building data pipelines (batch ETL, micro batches, and real-time streaming).
• Strong knowledge of cloud data platforms (either one of AWS, GCP, Snowflake, Azure)
• Experience of using (not limited to) SQL, Visualization, Reporting & ETL tools (PowerBI, Tableau, SSRS, Alteryx).
• Ideally, experience of working within the Asset Management industry
• Strong skills in Python, ETL transformations, data modeling, & feature engineering
• Experience owning data platforms end-to-end (from data generation/ingestion to curates/aggregated layers), designing, estimating, implementing, testing, maintaining, debugging, and supporting high-quality software in production.
• Experience in building foundational, curated and aggregated data layers enabling self-service business intelligence (easily consumable by non-technical users)
• Excellent interpersonal, communication, presentation, and organizational skills
• Strong analytical & troubleshooting skills

Total Rewards:

Our employees have access to a competitive and valuable set of Total Rewards. Our

• Health, wellness and risk benefits to protect employees and their families
• Retirement savings, stock purchase and other incentive programs to help employees plan for the future
• Holiday, paid-time-off and other employee programs that support work-life balance
• Support for pursuing certifications, external education and degree programs
• Learning, development and career advancement opportunities
• Ways to get involved in, and give back to, our communities, including paid time off for volunteering and charitable donation matching