Data Engineer – Contractor

🔥 16 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Datavail

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Datavail is a comprehensive IT solutions provider specializing in analytics, application development, database administration, and cloud services. Their offerings span advanced analytics consulting, cloud migration and management, and application modernization, ensuring clients can leverage their data for competitive advantage. Datavail focuses on delivering tailored solutions to enhance data management and operational efficiency across various sectors.

📋 Description

• 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 automation frameworks for data validation, testing, monitoring, deployment, and operational support • Lead data engineering activities across 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 Row-Level Security (RLS) and data governance standards • Collaborate with business stakeholders, architects, analytics teams, and platform engineers • 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

🎯 Requirements

• Bachelor's Degree • 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, and Data Warehousing • Experience designing and implementing data pipelines, ETL/ELT solutions, lakehouse architectures, and data integration frameworks • Strong experience with Databricks Workflows, Jobs, Automation, and Orchestration • Experience developing automated testing and validation frameworks for data platforms • 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 • Experience with performance tuning and optimization of Spark workloads • Experience with Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Semantic Models, and Power BI • Preferred: Infrastructure as Code (Terraform, Bicep, ARM Templates), DataOps/MLOps, Power BI semantic models and DAX, enterprise data governance and security frameworks, cloud platforms such as Azure, AWS, or GCP, and technical leadership/mentoring • 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 to align technical solutions with business objectives