Role: Senior Data Scientist Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience Work closely with the business stakeholders to identify the potential Data science applications Contribute by doing opportunity analysis, building ...
... secure and high performance data platforms and architectures Lead the development of batch and real time data processing solutions using modern cloud and big data technologies Define data engineering standards best practices and governance frameworks Drive architectural decisions for data lakes lakehouses data warehouses ...
... to data engineering tasks. Bachelors degree in Computer Science, Mathematics, Engineering, or a related field. 5+ years of experience working with enterprise data platforms, including building and managing data lakes. 3 - 5 years of experience designing and implementing data warehouse solutions. Expertise in SQL, including ...
... seasoned Senior Data Scientist with e-commerce expertise to join our dynamic team. Must-Have Skills: Machine Learning Algorithms, Python or R Programming, Big Data Technologies (Hadoop, Spark, or equivalent), Data Visualization Tools (Tableau, Power BI, or similar), SQL and Data Modeling Expertise. Data Analysis & Insights ...
... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...
... cloud-based data platforms and services, preferably Google Cloud Platform (GCP ) Hands-on experience with GCP managed services such as: Google Cloud Storage, Dataproc, Dataflow, Pub/Sub, Cloud Functions, Cloud Composer, BigQuery, BigTable . Required Skills - 4–8 years of experience i n Data Engineering / Big Data Engineering - Strong ...
... the engineering lifecycle and within data-processing solutions. Design, build, and operate scalable data ingestion pipelines that onboard healthcare provider data from EHR systems, national registries, healthcare networks, and partner feeds. Transform heterogeneous source data into standardized, trusted data models, including ...
... analytics-ready structures. Data Quality, Metadata & Curation: Capable of cleansing, transforming, and validating data; familiar with lineage, cataloging, and data quality frameworks. Experience And Education - Bachelor's/Master's in Data Science, Engineering, or a related field. - 5 – 7 years of experience in data, analytics, ...
... our core data platform and AI/LLM enablement tooling. You'll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You'll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems. ...
... We are looking for passionate and hardworking individuals that to help deliver for our global customer base. Kagool helps global enterprises modernize their Data and Analytics landscapes using Azure. We are rapidly growing our Data Engineering practice and looking for hard working passionate team members to join our exciting ...
Position: Senior Data Analyst (Tariff Data)Overall/Total Experience: 4-7 years onlyLocation: Pune (Only for Candidates living in Pune, Mumbai, Nagpur)Working Days: 5 Days Working from OfficeNotice Period Requirement: 30 Days (Maximum)Client's Company Size: Mid-SizedRoles and responsibilities:- Understands complex utility ...
... robust data ingestion processes, integrating with third-party APIs and on-premise systems. - Contribute to documentation and continuously improve engineering and data quality processes. 4+ years of experience in data engineering, including at least 1 year with on-premise systems. - Proficiency in Python for data workflows and ...
... requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience. As a Senior Data Engineer at JLL Technologies, you will: Contributes to the design of information infrastructure, and data management ...
... aligned to long-term platform direction. Our teams operate in cross-functional squads, bringing together engineering, product, and analysis capabilities as a Data Platform Engineering team. We work as the core platform team supporting multiple markets in their business-critical Data platform and shared capabilities. Design, ...
... 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 . ...
... developing scalable data ingestion pipelines, analytical data models, and high-performance data solutions. Experience with Microsoft Fabric, Azure Data Factory, DataOps practices, and performance optimization will be an added advantage. Design, develop, and maintain scalable data engineering pipelines using Databricks and ...
... scalable data pipelines and data systems that reliably ingest, transform, store, and serve large volumes of data. Partner closely with Software Engineering, Data Science, Product Management, and other stakeholders to understand data requirements and translate them into robust technical solutions. Define and own data quality, ...
... experience in the Big Data Ecosystem. Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems. Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle ...
... data tools: . Data ingestion: to ingest the data from a data source . Data processing: to process, transform and distribute the data to the target location . Data exposition : to distribute and expose the data hosted in the data platform . Data cleaning: to purge the data on the Lake in a secure way . Data tools: data formatter, ...
... streams. Graduate master's degree is a plus. - Hands-on in delivering end-to-end data science projects, developing machine learning solutions, and scaling up data solutions. Demonstrated expertise in the core machine learning workflow, including data handling (cleaning, wrangling, feature engineering) and modeling with ...