Job highlights

- Expertise in Informatica Cloud (IDMC), SQL with Snowflake, dbt, Airflow DAGs, MuleSoft, and Salesforce data models
- Build and manage data ingestion pipelines, monitor and troubleshoot data flows, track ingestion KPIs, and integrate third-party data sources

Job Title: Senior Data Engineer

Remote Job

Shift Time : 2:00 PM to 11:00 PM

Time Zone: must have overlap with US teams, work until 2AM IST.

Must-Haves:

Strong experience in data engineering, ETL (preferably Informatica), and data architecture

Experience working with Salesforce platforms and data models

Hands-on experience with Airflow DAGS 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

Main skillsets: Intelligent Data Management Cloud, IDMC (Informatica Cloud), strong SQL, DBT- Data Build Tool secondary: airflow dags, snowflake,



working salesforce systems like understanding salesforce apis/ MuleSoft / architecture

Day-to-Day:

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 teams operational needs

Build recent 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.

Mohd Safiuddin Khan

Lead Recruiter

HITEC City, Hyderabad, Telangana

+91-(phone hidden)

[email protected] connect on LinkedIn insightglobal.com

📌 Senior Data Engineer (Hyderabad)
🏢 Insight Global
📍 Hyderabad