Senior Data Engineer

Key Skills

Aartificial intelligence, AWS, Azure, Data Engineering, Data science techniques, Google Cloud Platform (GCP), Machine learning techniques, NumPy, Pandas, Python Programming, Scikit-learn, Snowflake, SQL

Job Description

Responsibilities:

• Build and own data pipelines that power the quantitative research system. Get data from internal Design, develop and implement ML/AI solutions for real estate markets.

• Find the needle in the haystack - identify the signals that are most descriptive and predictive of market performance.

• Train time series forecasting and cross-sectional ranking models across hundreds of geographies and property types. Use these data-driven views to construct risk-efficient model portfolios.

• Help the team build automated processes to support the quant research system using best practices in data engineering, cloud computing, and software development.

• Communicate complex quantitative ideas & insights to investment teams (analysts, PMs, underwriters, etc.) to improve adoption of solutions delivered by the data science team.

• Scope, lead, and execute research projects with clearly defined deliverables and timelines. Provide input to leadership to support development of a long-term roadmap.

Qualifications and Experience:

• Bachelor’s degree in computer science, engineering, or a quantitative discipline.

• Minimum of 8 years of experience as a software engineer, data engineer, or ML engineer.

• Expert-level knowledge in building and maintaining data pipelines and data warehouses (especially Snowflake).

• Highly proficient in database design, data modeling, and basic admin tasks.

• Proficient in SQL, python, and common data science libraries (e.g. pandas, numpy, scikit-learn).

• Experience with financial data, building end-to-end systems (data, models, UI) driving investment decisions

• Project management experience

• Proficient with cloud computing. Working with virtual machines, serverless functions, cloudstorage, data pipelines, etc. Azure is primary cloud, AWS/GCP also OK.

• Experience with Snowflake and ETL tools like Matillion & Azure Data Factory.

• Experience as a data analyst, data scientist, or BI developer. Able to switch roles based on the team's current needs.

Job Level - Individual Contributor

Work Shift Timing - 2:00 PM - 11:00 PM IST

Clarion Partners is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. Clarion Partners offers generous benefits designed with the health and financial welfare of our employees and their families in mind, including highly competitive and expansive health care coverage, a comprehensive 401K, company-sponsored volunteer opportunities, individual volunteer time off, parental leave and childcare programs, as well as other benefits and discount purchase programs.