8,143 data services jobs in India.

... Azure Data Factory (ADF) solutions, leveraging knowledge of Databricks . Design, develop, and maintain data pipelines. Work on data ingestion frameworks and data transformation frameworks . Utilize expertise in the Azure platform, Big Data, and Cloud technologies . Implement and manage data solutions using Snowflake . ...

HR Specialist Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Every day ...

Data Engineer – Databricks Experience: 7+ Years Work Mode: Remote Shift Timing: 12:30 PM to 9:30 PM IST ~ Databricks, Pyspark, Python, SQL, Microsoft Fabric, Azure Data Factory, DataOps practices, and performance optimization We are looking for experienced Data Engineers with strong hands-on expertise in Databricks, PySpark, ...

... new digital marketing strategies, competitors analysis etc Coordinator: Must coordinate with internal teams to ensure timely fulfillment of product orders/ services - The role would include you taking briefs from the clients, conveying it to the team of creative people like animators, visualizers, content writers, social ...

... satisfaction and operational efficiency.- Oversee the development, delivery, and continuous improvement of service technology solutions, including Warranty Services, Managed Services, Digital Experience platforms, Voice/IVA solutions, and ServiceNow.- Establish and govern enterprise technology standards, solution architecture ...

... IT tools and SaaS platforms essential for payroll, HR, and finance operations. Collaborate with HR, Payroll, Legal, Finance, and Security teams to align IT services with organizational needs and compliance requirements. Advanced Technical Support (L2 & L3) Act as an escalation point for complex technical issues, including ...

... complex and large-scale datasets. Strong experience in data analysis, data profiling, reconciliation, and Data Quality (DQ) validation. Ability to explore large datasets and translate analysis into clear findings, recommendations, and actionable insights. Experience working with large volumes of data and understanding of performance ...

About us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy ...

Data Scientist – Snowflake + Agentic AI / Cortex AI

Role: Data Analytics – Lending Location: Gurugram Experience: 1–4 years, industry competitive compensation What you'll lead / own: Credit funnel analysis across application approval disbursal journeys Building scorecards, frameworks (CIBIL, thick/thin files, bureau/behavioural, ATS cohorts etc.) Forecasting GMV, approval, ...

... and efficient data integration.- Develop and optimize database objects, including stored procedures, functions, views, and triggers, to ensure performance and data integrity.- Manage data ingestion, transformation, quality, governance, security, and compliance across multiple data sources.- Lead data engineering initiatives, ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... specialized services firm focused on digital transformation, data analytics, and cloud engineering. The company partners with global enterprises to modernize their data ecosystems, leveraging advanced cloud platforms to drive actionable business intelligence. Operating at the intersection of data strategy and technical execution, ...

... Strong hands-on experience with Azure DevOps, GitHub Enterprise, and GitHub Actions. Experience creating and managing CI/CD pipelines for .NET, Angular, APIs, and database deployments. Strong knowledge of Microsoft Azure services including App Services, AKS, Virtual Machines, Azure API Management, and Azure Front Door. Hands-on ...

... and data profiling findings to both technical and leadership https://jobeax.com/link/qD1PXku8V3HtzrrZ :- Experience: 5+ years in data engineering, with deep data warehousing exposure at scale.- SQL and BigQuery: Expert-level SQL; hands-on BigQuery optimization (partitioning, clustering, slots, cost).- Data Modelling: Strong ...

Brief Job Description: • Write and optimize in-application SQL queries and stored procedures - Support database performance, security, and availability - Assist in preparing technical documentation and specifications - Perform routine database tasks such as backup, recovery, and migration - Monitor server resource usage ...

... partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. For more information, please visit and follow along on LinkedIn #WeAreVML. ...

... develop, and maintain batch and real-time ETL/ELT pipelines on GCP Build and optimize data pipelines using Python Implement streaming solutions using Pub/Sub and Dataflow Develop and manage batch workflows using Cloud Composer Design and optimize data models and queries in BigQuery Work with large-scale, low-latency data stores ...

... Bangalore or Remote, Karnātaka (IN-KA), India (IN). Experience : 5-7 Life science and deep learning ( nureal networks , NER expirence mandatory ) Platform - python , databricks About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are one of the world's leading ...

Skillset Requirements : - Experience : 5 to 10 years in data science- Programming : Minimum 5 years in Python- Machine Learning/NLP : At least 4 years- LLM & GenAI : Minimum 1.5 years with large language models and generative AI- Database Management : At least 2 years with any database- Cloud Deployment : 1+ years deploying ...