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Information Technology Support Services · 501 to 1000 Employees · Broomfield, US
0 open roles0 posted in 7d0 in 30d
Work-life balance 3.6Compensation & benefits 3.7Culture & values 3.6
What employees say
+ Good Company with good pay
− Nothing as of now to mention
More reviews on the company profile.
Interview experience · SQL-DBA
Easy interview, not so lenghty , need to be confident, should know concepts in deep, Basic should also be clear . Mostly it will be in online mode, It was good experience
Average difficulty · Mumbai · 24 reports
More interview insightsJob description
Remote
Overview
Title: Senior Data Engineer – Databricks & Fabric Engineering
Responsibilities
- Title: Senior Data Engineer – Databricks & Fabric Engineering
- Location: Hyderabad / Mumbai / Bangalore
- We are seeking an experienced Senior Data Engineer with strong expertise in Databricks, Microsoft Fabric, Data Engineering, Automation, and Data Quality Engineering. The ideal candidate will play a key role in designing, building, automating, and governing enterprise data platforms while ensuring the reliability, accuracy, and security of analytics solutions.
- The role will support strategic data modernization initiatives across multiple clients and industry domains, focusing on scalable data pipelines, data quality frameworks, automation, and analytics platform engineering.
- Design, develop, and maintain scalable data solutions using Databricks, Microsoft Fabric, SQL, Spark, and Delta Lake.
- Build and optimize data ingestion, transformation, and orchestration pipelines for enterprise data platforms.
- Develop and implement automation frameworks for data validation, testing, monitoring, deployment, and operational support.
- Lead data engineering activities across the full lifecycle, including requirements, design, development, testing, deployment, and support.
- Build and maintain automated QA and reconciliation frameworks for analytical and reporting solutions.
- Validate data quality, completeness, consistency, and business rule compliance across enterprise datasets.
- Develop and maintain semantic models, lakehouses, warehouses, and data marts within Microsoft Fabric.
- Implement and validate security controls, including Row-Level Security (RLS) and data governance standards.
- Collaborate with business stakeholders, architects, analytics teams, and platform engineers to deliver enterprise-grade solutions.
- Support CI/CD, DevOps, Infrastructure-as-Code, and deployment automation initiatives.
- Drive performance optimization and cost efficiency across Databricks and Fabric environments.
- Establish engineering best practices, coding standards, reusable frameworks, and governance processes.
Qualifications
- 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Development.
- Strong hands-on expertise in:
- Databricks
- Apache Spark (PySpark)
- SQL
- Microsoft Fabric
- Delta Lake
- Data Warehousing
- Data Pipelines
- ETL/ELT Solutions
- Lakehouse Architectures
- Data Integration Frameworks
- Strong experience with Databricks Workflows, Jobs, Automation, and Orchestration.
- Hands-on experience implementing CI/CD pipelines using Azure DevOps, GitHub, or equivalent tools.
- Strong understanding of data quality, reconciliation, metadata management, and governance practices.
- Data Factory
- Lakehouse
- Warehouse
- Semantic Models
- Power BI
- Knowledge of Power BI semantic models, DAX, and analytical reporting solutions.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Ability to lead initiatives independently and work effectively in cross-functional teams.
- Strategic mindset with the ability to align technical solutions with business objectives.
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Job application FAQ
Last updated 15 September 2026
- How do I apply for Data Engineer - Contractor at Datavail?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Datavail may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - Contractor role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - Contractor remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - Contractor role at Datavail?
- This is a mid-level Data Engineer - Contractor role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.