3,111 associate data processing jobs in India.

About Liability Sales The Liability Sales department focuses on the liability acquisition, assets and retail forex business for the bank.

... maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated testing, including unit test cases using pytest. Collaborate with front end developers to support seamless integration ...

About Liability Sales The Liability Sales department focuses on the liability acquisition, assets and retail forex business for the bank.

... procedures) - Cloud Data Platforms: Hands-on experience with cloud environments like Snowflake and AWS (S3, AWS Sage maker, Athena) - Scripting: Proficiency in Python for advanced data processing, automation and custom visuals. - Performance Tuning: Experience with tuning tools such as DAX Studio or Tabular Editor is preferred

... generate actionable insights, Ensure data quality, security, and governance across all analytics systems, Collaborate with cross-functional teams to understand data needs and deliver impactful solutions Requirements ~3+ years of experience in data engineering, analytics, or BI-focused roles, Strong proficiency in SQL and ...

Requirements What You Will Do Analyze Business Requirements. Analyze the Data Model and perform GAP analysis with Business Requirements and Power BI. Design and model Power BI schema. Transform data in Power BI, SQL, or Microsoft Fabric. Create DAX formulas, reports, and dashboards. Strong experience with Power BI or Microsoft ...

... and maintain scalable data pipelines and management systems. Develop and optimize data pipelines using modern orchestration tools (e.g., Develop and maintain data warehouse transformations using dbt and modern data warehousing techniques such as dimensional modeling, incremental processing. Collaborate with data architects ...

... Aug 26 - Planning for 2 skills GCP Data engineer - 11 positions , Band E - 8+ yrs Data Analyst - 17, Band E - 8+ yrs Location : Chennai/ Hyderabad/Bangalore Data analyst - JD Advanced SQL (BigQuery ideally) for querying and data manipulation Data quality checks, validation and reconciliation Working knowledge of data warehouse ...

"Job Title- Retail Associate PURPOSE & IMPACT ON ORGANIZATION: · Contribute to meeting or exceeding store sales and profit targets by: · Passionately inspiring consumer loyalty to the brand · Effectively serving and selling to customers · Diligently executing store operations KEY RESPONSIBILITIES: · Be aware of store sales ...

... models to solve complex data problems. - Analyze large datasets to identify trends, patterns, and insights. - Write efficient and maintainable code in Python for data manipulation and model building. - Utilize SQL for data extraction, transformation, and database management. - Apply statistical methods to interpret data and ...

... dashboards and automated reports using tools like Power BI, Excel, and JIRA. - Automate data collection and reporting processes to minimize manual effort and enhance data accuracy. Facilitate data-driven decision-making across teams, supporting strategic initiatives. Work with the Operations team to identify gaps in data processes ...

... patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling visualizations, supporting data projects, and ensuring data accuracy and integrity. Conduct data analysis ...

Job Role: Senior Data Scientist Experience Required : 6–9 years Swiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The Food-DS team works at the intersection of machine learning, advanced architecture, and applied research ...

... portals. Data Quality, Security & Compliance Lead the design and implementation of robust data quality protocols, embedding quality assurance at every stage—from data collection to ingestion and processing. Proactively shape data collection processes to embed data integrity and standardization from the source. Ensure security, ...

... and digital trust capabilities. Our flexible and modularized methodology has been utilized by numerous global organizations to build a broad global privacy, data protection, and/or digital trust operations and includes the following phases and activities. Data lifecycle management Policy fine-tuning Cyber Data Operate ...

... maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated testing, including unit test cases using pytest. Collaborate with front end developers to support seamless integration ...

... (DR) program while partnering with business stakeholders to strengthen Business Continuity (BC) capabilities and enterprise operational resilience. The Sr. Associate serves as the Disaster Recovery program lead, driving technology recovery planning, recovery strategy, dependency management, AI-enabled modernization, orchestration, ...

... organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. ...

... Responsibilities Develop data solutions within Big Data and cloud environments Work with diverse datasets for Data Science and Analytics teams Build and design data architectures using Azure Data Factory, Databricks, Data Lake and Synapse Perform data mapping and transformation activities Develop data integration and transformation ...

... 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 ...