Senior Data Engineer - INTL India- FF

Required Skills & Experience

Strong experience in data engineering, ETL (preferably Informatica Cloud), and data architecture Experience working with Salesforce platforms and data models Hands-on experience with Airflow and MuleSoft Strong SQL skills with Snowflake and other relational databases Experience writing complex Python modules for custom ETL workflows Expertise in building batch and real-time data pipelines Experience with dbt for data transformation and modeling Familiarity with AWS/GCP and distributed/event-driven architectures Strong understanding of data modeling, data warehousing, and big data processing Experience with data quality, monitoring, and pipeline orchestration frameworks Ability to work closely with Product, Data Science, and Analytics teams Experience working on Salesforce Flows and Apex is a plus

Job Description

The supplier will serve the Data Strategy and Operations function within UKS, establishing new data integration patterns into Data 360 from third-party vendors and managing ingestion from existing sources. Engineers will own pipeline monitoring, KPI tracking, and egress management to multiple downstream destinations.

Responsibilities:

Manage all new data ingestions for team’s operational needs Build new data integrations for all new data sources and providers, including third-party data providers Manage new data egress patterns to send/share data outputs from Data 360 to multiple destinations Ingest new data via existing ingestion pipelines Monitor, maintain, and troubleshoot data pipelines Track and report statistics including data volume, number of data streams, and other ingestion KPIs

Near-Term Priorities (First 30 Days) Establish new data integration for data provider Ingest an additional dataset from Moody's (integration already established) Manage other third-party vendor data sources as assigned