4,271 operations data analyst jobs in India.

... needs into data platform investments and collaborating across Engineering, Product, Finance, and Operations What we're looking for ● 8+ years of experience in data engineering, analytics engineering, or data infrastructure roles ● 3+ years of experience managing multi-team or multi-functional data organizations Deep expertise ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... Terraform, CloudFormation) and containerization/orchestration tools like Docker and Kubernetes. Distributed data processing (e.g., Shell scripting, Bash) to automate data workflows and tasks. Experience supporting data science or ML teams with clean, well-modeled data. Exposure to data governance, cataloging, or data quality frameworks ...

... design, build, and operate high-reliability ETL pipelines across multiple FBA business domains, drive the DBT migration strategy, and establish monitoring and data quality frameworks. You will partner with Data Engineers, Business Analysts, and SMEs to ensure the data foundation meets strict accuracy, freshness, and documentation ...

... transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. ...

Supports, develops and maintains a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with the Business and IT teams to understand the requirements to best leverage the technologies to enable agile data delivery at scale. Implements and ...

Key Responsibilities Design, develop, and maintain scalable ETL pipelines and DataOps workflows Build robust processes to integrate internal and external data sources with quality checks Automate manual tasks and optimize data ingestion and delivery processes Collaborate with cross-functional teams including product, marketing, ...

... drill-down dashboards enabling business leaders to analyze trends and root https://jobeax.com/link/xO27IwB87boM1kxT Engineering & Automation : - Consolidate data from Excel, CSV, databases, APIs, SharePoint, and business systems.- Develop reusable data models and reporting pipelines.- Automate data collection, cleansing, ...

... analytics, BI self-service and AI use cases.- Databricks Workflows) and compute engines (Spark, SQL, Python).- Data Quality, Governance & Observability : - Implement data quality checks, validations, and monitoring to ensure reliability and trust in data products.- Contribute to data lineage, metadata management, and documentation.- ...

... Teradata, Python and Julia.- The candidate must have experience in Python and Julia for data processing, analysis and automation.- 2-4 years of experience in Teradata, Python, and Julia.- Strong experience in data engineering and data analytics.- Good knowledge of Provider domain.- Experience working with Teradata databases.- ...

... multiple data sources, and building semantic data layers for analytics and https://jobeax.com/link/eQK4uag79A3cPnLy Responsibilities :- Design and develop scalable data virtualization solutions using Denodo.- Create and maintain Base Views, Derived Views, Joins, Unions, Interfaces, and Data Services.- Integrate data from multiple ...

... processes, observability, and documentation; Partner with Analytics, BI, and ML teams to productize datasets and ensure strong data contracts. Support production operations, including on-call rotations for critical pipelines as needed. Hands-on expertise in GCP data stack: BigQuery, Dataflow (Apache Beam), Dataproc, Cloud Storage, ...

... Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors. About the role:- We are looking for a Data Engineer II (SDE-2) to join our data team. The ideal candidate will be a play a key role to develop of high performant and scalable Data Lake-house , moving us toward a world of sub-minute data latency ...

Role: Data Engineer - Power BI Modelling Level: 7-15 years Build and maintain Power BI semantic models (DAX, star schemas) for enterprise reporting. Develop PySpark/Python and SQL pipelines feeding the Snowflake environment. Translate reporting requirements into performant data models. Ensure data quality. Validate accuracy ...

... for structured and unstructured data. Integrate data from multiple internal and external sources into centralized systems. Build scalable batch and real-time data processing workflows. Data Infrastructure & Architecture: Develop and maintain data lake, data warehouse, or data mesh architectures. Ensure high availability, ...

... financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory ...

... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...

... and Snowflake Build, monitor, and maintain data pipelines that ensure timely and accurate delivery of data to internal and external consumers Own and enforce data refresh SLAs, ensuring availability, consistency, and reliability across production and reporting environments Collaborate with software engineers, analysts, ...

... of CI/CD tools. Govern end-to-end data architecture with a focus on data quality, security, compliance, and lifecycle management. Build efficient and scalable data models ensuring optimal query performance and responsiveness. Ensure seamless data flow across ingestion layers, data models, and visualization outputs. Conduct ...

prefr (operated by creditvidya) is a digital-first lending platform that makes credit accessible to millions across India. With loan offerings ranging from ₹50,000 to ₹5 Lakh, we’re enabling instant personal loans and flexible pay-later credit lines, especially for first-time borrowers and underserved regions.