Data Engineer/Analyst

1 week ago

Mumbai, India Hiring Infinity Full time

Weve assembled a world-class team and are building a firm grounded in intellectual rigor, commitment to excellence, and a culture of ownership. Were energized by the scale of the opportunities ahead and are looking for teammates who want to help build something fast-moving, high-impact, and built to win.KEY RESPONSIBILITIES : - Construct analytical dashboards from alternative data use cases, such as sector or thematic and financial KPI dashboards- Load and import data into internal warehouses through Azure Blob Storage and/or S3 deliveries, SFTP, and other ingestion mechanisms- Design and implement ETL workflows for preprocessing of transactional and aggregated datasets including : complex joins, window functions, aggregations, bins and partitions- Manipulate and enhance time series datasets into relational data stores- Implement and refine panels in transactional datasets and relevant panel normalization- Conduct webscraping, extraction and post-processing of numerical data from web-based datasetsQUALIFICATIONS : - Bachelors or Masters in Engineering, Finance, Accounting, Economics or related field- Previous experience working within fundamental equity investment workflows, such as exposure to financial modeling- High proficiency in SQL and the Python data stack (pandas, numpy, sklearn)- Experience working with scheduling and execution platforms, such as Airflow, Prefect, or similar scheduled DAG frameworks- Understanding of efficient query management in Snowflake, DataBricks, or equivalent platforms- Optional familiarity with automation of workflows that produce Excel outputs, such as through openpyxl- Optional familiarity with integrations and import/exports to REST/gRPC/GraphQL APIsADDITIONAL DETAILS : - Work Location : In-office, 5 days per week in Mumbai, India- Hours : India hours, with an overlap with the US hours (noon to late evening IST)- Security : This role is performed in a dedicated, secure workspace- Travel : Annual travel to the U.S. for onsite collaboration is expected (ref:hirist.tech)

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