Job Title: Senior Associate Developer
Experience: 4+ Years
Education: Bachelor’s degree
Location: Mumbai
Key Skills: Snowflake (data modeling, performance tuning, Snowpipe, Streams/Tasks), AWS (S3, Glue, Redshift, EMR, Lambda), Azure (ADF, Synapse, Data Lake, Databricks), Python / PySpark / Scala.
Data Architecture & Engineering
Design, develop, and maintain scalable ETL/ELT pipelines using cloud-native tools
Build and optimize data models and data warehouses in Snowflake
Work with AWS (S3, Glue, Redshift, Lambda) and/or Azure (Data Factory, Synapse, Data Lake)
Ingest, process, and transform large datasets from multiple sources (batch & real-time)
Ensure data quality, consistency, and governance across systems
Collaborate with data analysts, data scientists, and business teams
Optimize query performance and manage cost-efficient data processing
Implement CI/CD pipelines and data engineering best practices
Monitor and troubleshoot production data pipelines
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.
Datavail | Data, Cloud & AI—Built for Real Business Outcomes
Datavail is a data, cloud, and AI consultancy that helps organizations turn complex technology environments into clear, measurable business outcomes.
We partner with data, technology, and IT leaders to make enterprise data more usable, systems more adaptable, and decisions more informed. Our work sits at the intersection of data management, cloud modernization, enterprise applications, and AI—bringing these disciplines together so they support the business, not slow it down.
In a landscape full of tools, platforms, and transformation promises, Datavail focuses on what actually drives progress:
• Trusted, well-managed data that teams can rely on
• Cloud environments without unnecessary cost or complexity
• Enterprise applications that evolve with the business
• Practical, responsible AI that delivers value—not experiments
We help organizations:
• Improve data quality, accessibility, and governance
• Turn analytics and AI into everyday decision-making tools
• Modernize and optimize cloud and application environments
• Reduce operational risk while increasing agility and performance
Our Core Capabilities:
• Data Management & AI: Data foundations, analytics, AI and machine learning that support real-world decisions
• Cloud Services: Cloud modernization, optimization, SRE services, and license optimization
• Enterprise Applications: Managed services, upgrades & integrations, digital transformation, and implementation services
At Datavail, we believe data only creates value when it’s well managed, well understood, and actively used. Our role is to help organizations move from complexity to clarity—and from data to action.
