Senior Data Engineer

🕒 3 days ago

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thinkbridge

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

thinkbridge is a global digital product development and technology advisory firm that helps growth-stage and mid-market companies modernize their tech stacks, build customer-facing platforms, and adopt AI and automation to accelerate value and scale. They offer end-to-end services including digital and technology strategy, GenAI consulting, application modernization, modern application development, DevOps/ML Ops, integrations, automation and 24x7 maintenance — with industry-focused work in financial services, energy/utilities, health and staffing. thinkbridge emphasizes fast, outcome-driven delivery using proprietary accelerators and a predictable pricing model.

📋 Description

• Analyse existing Power BI reports, dashboards, datasets, and semantic models • Analyse existing Alteryx workflows and understand data ingestion and transformation logic • Identify source databases, schemas, tables, views, and columns used by reports • Trace data from source systems through Alteryx/ETL processes into Power BI • Understand SQL queries, joins, filters, transformations, calculations, and aggregations • Map relationships between Power BI reports, datasets, Alteryx workflows, and source tables • Create and maintain data lineage and source-to-target mappings • Document reporting and data architecture for technical and business stakeholders • Work with stakeholders to validate report logic and source data • Identify duplicate, unused, or potentially obsolete data sources • Collaborate during in-person one-week sprints twice or thrice a year

🎯 Requirements

• 4+ years of experience in data analytics using Power BI, Alteryx, and SQL • 4+ years of experience in Power BI development and data modelling • Expert/Power User proficiency in Power BI • Expert/Power User proficiency in Alteryx • Strong SQL skills • Strong understanding of relational databases • Experience with data lineage, data mapping, and data discovery • Experience analyzing existing BI/reporting environments • Strong understanding of ETL/data transformation concepts • Experience with Power BI datasets/semantic models and Power Query • Ability to reverse-engineer existing reports and data workflows • Azure / Microsoft data ecosystem knowledge is good to have • Azure Data Factory knowledge is good to have • SQL Server knowledge is good to have • Data warehouse concepts knowledge is good to have

🏖️ Benefits

• Dedicated Learning & Development Budget • Cutting-Edge Projects using the latest technologies • Employee-Friendly Leave Policy with ample leave options • All leaves and time off are paid leaves • Comprehensive Medical & Term Insurance with full coverage for you and your family • Work-From-Workweek allowance covering travel expenses for in-person one-week sprints • Company-sponsored local meetups • Reimbursement for approved certifications and short courses • Remote-First Culture • Inclusive workplace with equal opportunity • Set hours for collaboration • Opportunity for professional growth, new skills, and role transitions

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