2,630 sap data migration jobs in India.

... Data Factory or equivalent. Data Handling: Expertise in data engineering, including data cleaning, transformation, and preparation for analysis. Knowledge of data modelling, database design, and data architecture principles. Data Quality: Proven experience in data quality management, including data cleansing, validation, ...

... validation frameworks that operate reliably at scale- Writing specifications for analytics algorithms to be implemented by software engineers- Supporting product migration and transition work, picking up operational knowledge and building India team capability- Applying AI tools to accelerate routine analytical tasks - data profiling, ...

Job Description – Data Engineer Experience: 5–7 Years Role: Sr. Data Engineer Department: Data Engineering / Product Engineering Role Overview We are looking for an experienced Data Engineer with 5–7 years of hands-on experience in ETL/ELT, database engineering, Big Data processing, and complex bi-directional data integrations ...

... Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms. Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements (e.g., BCBS 239, GDPR) Experience with AI/ML technologies and their application to data management challenges ...

... parameters, and LOD calculations Data blending and joins Row-Level Security ( RLS ) Replacing and managing data sources  Hands-on experience in Tableau-to-Power BI migration projects is mandatory.  Good Hands-on Understanding Of Power BI, Including Report and dashboard development Data modelling Measures and calculated columns ...

... causes, and quantify improvement opportunities. Implement and maintain process data models - integrating and transforming data from enterprise systems (e.g., SAP, Salesforce, ServiceNow) into structured, analysis-ready pipelines for process-mining and machine-learning applications. Collaborate with senior data scientists, ...

... production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance ...

... sustainability sectors. Position: Senior Android Developer Develop and deploy satellite-based crop classification models using multispectral, hyperspectral, and SAR datasets (Sentinel-1/2, Landsat, NISAR). - Design Earth Engine Python API workflows for cropland segmentation, sowing date estimation, acreage mapping, and in-season ...

... Engineering: Architect Medallion (Bronze/Silver/Gold) or equivalent layered data platform designs using Delta Lake; own Unity Catalog governance, access control, and data lineage. Data Integration: Oversee ETL/ELT pipeline development and orchestration (Apache Airflow, ADF), including legacy migration support (e.g., SSIS, Informatica, ...

Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...

... artefacts that exploit data models to understand data and data integrations. This may include modelling data flows, developing CRUD matrices to understand master data, and the use of process models to illustrate master data flows.- Analyze complex datasets to identify trends, anomalies, data gaps, and business insights that ...

... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...

... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...

We are looking for a hands-on Data Scientist to join the Commodities At Sea (CAS) team. The role combines large-scale data processing, data wrangling and analytical problem-solving with the development of reliable, production-ready data products for maritime and commodity-flow analytics. The successful candidate will work ...

... proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: Deep experience with dbt and modern data modelling practices. Data Platforms: Hands-on experience working with Snowflake or comparable cloud data warehouses ...

... Measurement Team that specializes in the ingestion, transformation, and storage of large-scale social and broadcast data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, ...

... opportunities, and business insights. Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, ...

... comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more. Job Title: Data Scientist 2 Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset ...

Role Purpose This role is responsible for driving enterprise-wide data engineering strategy. It ensures the design, implementation, and continuous improvement of data pipelines, scalable and reusable frameworks, and implement data governance and data quality engines. The position enables trusted, governed data across systems, ...

... for optimization and modernization - Ensure backward compatibility and data integrity during migration processes - Document refactoring approaches and create migration playbooks - Collaborate with stakeholders to minimize disruption during code transitions Data Engineering Excellence - Implement data quality checks and validation ...