Senior Technical Specialist

Datavail; Mumbai; Remote; INR 3,000,000 - 5,000,000; Full time

Job summary

Datavail is seeking a hands-on Senior Azure Data Engineer in India (Remote) to design, develop and modernize enterprise-scale data pipelines. The role requires deep SQL Server, Azure Data Factory, ETL development, and data warehousing expertise, with focus on migrating SSIS workloads to Azure-based platforms.

You will work across on-prem, hybrid, and cloud environments and collaborate with North America teams to ensure coverage during US business hours, while delivering scalable data solutions

Qualifications

• 8+ years of experience in Data Engineering, ETL Development, or Data Warehousing.
• Strong expertise in Microsoft SQL Server and advanced T-SQL development.
• Strong hands-on experience with Azure Data Factory (ADF).
• Extensive experience designing and building ETL/ELT pipelines.
• Strong experience with SSIS development, troubleshooting, migration, and modernization.
• Solid understanding of Data Warehouse concepts and dimensional modeling, including:
• Fact & Dimension models
• Star Schema
• Snowflake Schema
• Experience processing large-volume data and performing SQL performance tuning.
• Experience integrating with REST APIs and external data providers.
• Experience with SFTP and file-based integrations.
• Strong knowledge of data validation, reconciliation, and quality controls.
• Proven production support and troubleshooting skills.
• Experience using Git, source control practices, CI/CD, and deployment automation.
• Experience working across on-premises, hybrid, and cloud data platforms.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT solutions and data pipelines.
• Support and enhance enterprise data warehouse solutions.
• Analyze existing SSIS packages and lead modernization efforts toward Azure Data Factory and modern cloud-based architectures.
• Build and optimize data ingestion, transformation, and integration processes.
• Perform advanced SQL development, query optimization, and performance tuning for large-volume datasets.
• Develop integrations with REST APIs, third-party systems, and file-based interfaces.
• Support SFTP-based and batch data exchange processes.
• Troubleshoot production issues, perform root-cause analysis, and implement preventive solutions.
• Ensure data quality through reconciliation, validation, monitoring, and exception handling.
• Collaborate with business and technical stakeholders to gather requirements and build data solutions.
• Implement CI/CD pipelines and source control best practices for data engineering solutions.
• Support hybrid environments involving on-premises and cloud-based systems.
• Participate in architecture discussions and recommend modernization strategies.

Skills

Data engineering

ETL development

SQL Server / T-SQL

Azure Data Factory (ADF)

Data warehousing concepts

CI/CD practices

REST API integration

Education

Bachelor’s Degree

Tools

Azure Data Factory

SSIS

Git

Python

Databricks

Snowflake

Azure Synapse

Job description

Job Description

Title: Senior Azure Data Engineer

Location: India ( Remote )

Education: Bachelor’s Degree

Experience Level: 10+

We are looking for experienced Data Engineers who can provide overlap with North America business hours. The ideal coverage is until approximately 3:00 PM–4:00 PM Eastern Time (ET). Resources may also work staggered shifts to ensure broader support coverage and operational continuity.

We are seeking a highly skilled, hands‑on Senior Data Engineer with strong expertise in SQL Server, Azure Data Factory (ADF), ETL development, and Data Warehousing. This role is focused on designing, developing, troubleshooting, and modernizing enterprise‑scale data integration solutions. The ideal candidate is a true Data Engineer, not primarily a BI or reporting developer. They should be capable of independently analyzing existing data pipelines, resolving production issues, building scalable data solutions, and driving the modernization of legacy SSIS‑based workloads to Azure‑based data platforms.

Required Qualifications

Technical Skills

• 8+ years of experience in Data Engineering, ETL Development, or Data Warehousing.
• Strong expertise in Microsoft SQL Server and advanced T‑SQL development.
• Strong hands‑on experience with Azure Data Factory (ADF).
• Extensive experience designing and building ETL/ELT pipelines.
• Strong experience with SSIS development, troubleshooting, migration, and modernization.
• Solid understanding of Data Warehouse concepts and dimensional modeling, including:
• Fact & Dimension models
• Star Schema
• Snowflake Schema
• Experience processing large-volume data and performing SQL performance tuning.
• Experience integrating with REST APIs and external data providers.
• Experience with SFTP and file‑based integrations.
• Strong knowledge of data validation, reconciliation, and quality controls.
• Proven production support and troubleshooting skills.
• Experience using Git, source control practices, CI/CD, and deployment automation.
• Experience working across on‑premises, hybrid, and cloud data platforms.

Preferred AI / GenAI Experience

• Candidates with exposure to AI‑enabled data engineering solutions will be highly valued.
• Experience incorporating AI/GenAI capabilities into data engineering solutions.
• Experience with Azure OpenAI Service or OpenAI API integrations.
• Python‑based AI automation and intelligent workflow development.
• AI‑assisted data quality monitoring, anomaly detection, and operational troubleshooting.
• Understanding of:
• Retrieval‑Augmented Generation (RAG)
• Embeddings
• Vector Databases

Additional Preferred Skills

• Python
• PySpark
• Databricks
• Snowflake
• Azure Synapse Analytics
• Microsoft Fabric
• MongoDB / NoSQL databases
• PowerShell scripting
• Data Lake and Lakehouse architectures

Desired Candidate Profile

• Be highly hands‑on and technically strong in data engineering.
• Demonstrate the ability to work independently with minimal supervision.
• Quickly understand and troubleshoot complex legacy and modern data platforms.
• Possess strong analytical and problem‑solving skills.
• Have experience supporting mission‑critical production environments.
• Be comfortable driving modernization initiatives and recommending best practices.
• Communicate effectively with both technical and business stakeholders.
• Take ownership of deliverables and operational outcomes.

Nice‑to‑Have Industry Experience

• Enterprise Data Warehousing
• Financial Services
• Healthcare
• Retail & Consumer Data Platforms
• SaaS and Cloud‑Native Data Environments

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT solutions and data pipelines.
• Support and enhance enterprise data warehouse solutions.
• Analyze existing SSIS packages and lead modernization efforts toward Azure Data Factory and modern cloud‑based architectures.
• Build and optimize data ingestion, transformation, and integration processes.
• Perform advanced SQL development, query optimization, and performance tuning for large‑volume datasets.
• Develop integrations with REST APIs, third‑party systems, and file‑based interfaces.
• Support SFTP‑based and batch data exchange processes.
• Troubleshoot production issues, perform root‑cause analysis, and implement preventive solutions.
• Ensure data quality through reconciliation, validation, monitoring, and exception handling.
• Collaborate with business and technical stakeholders to gather requirements and build data solutions.
• Implement CI/CD pipelines and source control best practices for data engineering solutions.
• Support hybrid environments involving on‑premises and cloud‑based systems.
• Participate in architecture discussions and recommend modernization strategies.

About Us

Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world‑class tech‑enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.

About The Team

The Enterprise Applications Cloud ERP practice specializes on Oracle technology and supports our client’s full‑life cycle needs for both on‑prem and cloud products. The practice itself is 100+ FTEs strong located in the US, Colombia, and India and is the fastest growing practice in Datavail.

The right person will exemplify Datavail’s core values (Desire to service, Low Ego, Hard Work). So if you are looking for a company that loves it clients just as much we love our team then this is the right place for you.