17 Aug
|
Intercontinental Exchange Holdings
|
India
17 Aug
Intercontinental Exchange Holdings
India
Job Description
Job Purpose
Intercontinental Exchange (ICE) is seeking a highly motivated and detail-oriented Data Engineer to enhance Sustainable Finance Operations through automation and robust data quality practices. In this role, you will design and develop Python-based applications and data pipelines that ingest ESG documents and market data, store them in backend databases, perform rule-based and statistical validations, and deliver clean, reliable datasets for downstream products and operational workflows.
Responsibilities
Automation & Application Development: Design, develop, and maintain Python-based applications and ETL/ELT pipelines (e.g., ingest data from APIs and company websites, parse sustainability/ESG reports, and persist data in SQL backends).
Database Engineering: Model operational tables; write optimized SQL queries (joins, window functions, CTEs); implement indexing and partitioning; and manage data migrations.
Data Validation & Quality Control:
Implement logical and business-rule validations for Sustainable Finance datasets to ensure accuracy and completeness.
Workflow Orchestration: Schedule and monitor jobs using AWS/GCP orchestration tools (e.g., AWS Glue, Step Functions, GCP Dataflow) or similar; implement alerting and recovery runbooks.
Data Visualization Support: Collaborate with Operations to publish curated datasets and build dashboards (Power BI/Tableau or equivalent) for tracking coverage, timeliness, and quality KPIs.
Documentation & Traceability: Maintain comprehensive documentation—data lineage, validation rules, SLAs, and operational playbooks—to support audits and client transparency.
Cross-Functional Collaboration: Work closely with Operations leads and product partners to resolve data issues, implement corrections, and continuously improve throughput and accuracy.
Knowledge and Experience
Bachelor’s or Master’s degree in computer science, Information Systems, Data Science, Business Analytics, or a related fie
📌 Data Engineer Hyderabad (India)
🏢 Intercontinental Exchange Holdings
📍 India