Data Engineer II
MiQ (company site, opens in a new tab)2–3 yrsBengaluruOn-siteDirect career pageEst. 10–16 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain automated, scalable data pipelines integrating systems like Workday, Salesforce, and centralized BI data warehouse.
- Own monthly BAU processing of billing data across commercial regions through automated workflows.
- Serve as technical SME in data engineering, integration, and management, collaborating with cross-functional SME teams to ensure robust end-to-end data pipelines.
Minimum Requirements
- 2-3 years of experience in data engineering and data integration, specifically building and managing cloud data pipelines (AWS, Azure, or GCP).
- Proficient in PySpark (preferably Databricks), advanced SQL, Hadoop technologies including Hive and Spark.
- Working knowledge of finance ERP suites and SaaS applications such as Workday, SAP, Salesforce.
- Experience with SDLC practices, release and incident management tools like Bitbucket/GitHub and JIRA.
Ideal Candidate Profile
- Experienced in managing finance-related data integrations and pipelines involving ERP and commercial business systems.
- Strong stakeholder management skills working across technical and business units such as Finance, ERP, Billing, and Trading teams.
- Detail-oriented with a focus on data modeling, transformation, data quality, and infrastructure optimization to support business-critical data flow and reporting.