Key Responsibilities: Dynamics 365 Customization: Modify forms, views, and dashboards to align with business needs. Data & Table Management: Create and maintain tables, fields, and relationships within D365. Workflow Automation: Design flows and business rules using Power Automate and D365 tools. Testing & QA: Ensure all ...
... continuously enhance analytics capabilities. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field. - 3-5 years of experience in data science, preferably in FMCG or e-commerce. - Strong proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau, etc.). - Experience with machine ...
... the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to develop reports and dashboards in Power BI.- Expertise ...
... pgsql, tsql, plsql- Working knowledge on Data loads, ETL and data migrations- Expertise in building complex stored procedures, functions- Should have exp in database auditing and identifying performance bottle necks.- Good understanding on application lifecycle.- Expertise in database setup, user management & deployments- ...
... and transforming large-scale structured data. Python: Skilled in data analysis, modeling, and automation (pandas, NumPy, scikit-learn, statsmodels, etc.). Big Data Tools: Familiarity with Hive, Spark Visualization: Proficiency with Tableau, Looker, Power BI Hands-on with Machine Learning Data-science expectations:Hands-on ...
... healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership . In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical ...
... https://jobeax.com/link/eLxO3SLmpqvNPOZi : - Strong hands-on Databricks Architect/Databricks Engineer Profile with end-to-end build-and-solution capability and Databricks professional certification.- Must have 6+ years in Data engineering/Data architect roles, with at least recent 3 years of hands-on Databricks experience.- ...
... expertise in database architecture, replication, clustering, performance tuning, and high-availability setups, along with hands-on experience in developing complex database applications, triggers, and stored procedures. Key Responsibilities Database & Cluster Management: Design, develop, and maintain databases and database applications ...
... Microsoft Fabric components (Lakehouse, Data Factory, Power BI, Real-Time Analytics).- Deep expertise in big data processing (Spark/PySpark).- Advanced knowledge of data modeling techniques (Dimensional, Data Vault, Medallion).- Proficiency in SQL, distributed data systems, and data orchestration frameworks.- Experience with Delta ...
Experience: 3 -5 Years (In Data Analytics) Mode: Hybrid - Fulltime Location: Bangalore Must Have Skills: Advanced SQL, Complex queries, Business Analysis, Experimentation Prefer: Immediate Joiners/Serving Notice Key Skills & Qualifications: Advanced SQL expertise with strong proficiency in writing and optimizing complex ...
... Machine Learning, Scikit-learn, XgBoost, SQL GeoIQ (a Lenskart subsidiary) is India's leading hyperlocal location AI platform, helping businesses make precise, data-driven decisions using street-level intelligence across demographics, income, infrastructure, and commercial activity. As a Data Scientist, you will be a core ...
... Applied Scientist at SAP, you'll help build the context engine grounded in SAP's Business Ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants. This is an early-career role for engineers and scientists who are sharp, curious, and ready ...
... change, applying first-principles problem solving, and using data to learn and adapt along the way. Enterprise Data & AI Mission Enterprise Data & AI provides the data and systems to enable our enterprise transformation from human-powered operations to data-driven, AI-powered, and human-led agentic operations. This data and ...
Data Scientist – Mortgage Analytics & AI Experience – 5 to 10 years About the Role We are looking for an experienced Data Scientist to join our team and help build the next generation of data-driven solutions for the mortgage and real estate industry. In this role, you will work at the intersection of data science, machine ...
... databases for development, testing, production, and training. Designing and implementing database solution for support High Availability, Disaster Recovery, and Database Capacity Management. Be part of a global team that provided 24/7 databases support. Help Identify database tools which enable efficient database development, ...
Job Role: Senior Platform Data Engineer (Databricks) Architect and operate large-scale distributed data platforms using Databricks and Spark. Architect Databricks deployments Drive performance standards 8+ years of data or cloud engineering experience - Production ownership experience - Responsible for the end-to-end administration, ...
... globally. Through our deep business knowledge operational excellence and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity courage and innovation our teams implement data technology and AI to create tomorrow today. Get to know us at https://jobeax.com/link/UpHJ83R8U509n2jK ...
... clean consumption in Power BI or other visualization layers. Stay at the frontier of AI-native data tooling—Snowflake Cortex, dbt Copilot, LangChain, vector databases, embedding pipelines—and bring forward-looking technical judgment to the team's architectural decisions. 4+ years of professional experience in data engineering, ...
Litmus is building the data foundation that powers industrial AI. AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial environments still can’t access or use their operational data. We’re a growth-stage software company helping manufacturers ...
Position Overview:We are looking for a Data Engineer with hands-on experience in Apache Airflow, Python, and Jupyter Notebook to build, orchestrate, and maintain robust data pipelines that power our analytics and business decisions. In this role, you will work closely with data teams to clean, transform, and move data reliably ...