... analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. ~ The Lead Data Engineer ...
... https://jobeax.com/link/S4RuHJ1G3doUiTso ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir https://jobeax.com/link/RDUDqJz5k99Gqrkb in the insurance domain is a https://jobeax.com/link/WcdeZfP9AzyV5ADN ...
... alignment.- Drive adoption of AI coding tools to multiply team https://jobeax.com/link/SUy80954HPKhhMw7 You will Bring : - 10+ years of experience in Software or Data Engineering with large-scale, high-traffic, fault-tolerant systems.- Deep experience with semantic modeling, data lakehouse, and data product development.- Expert-level ...
... people grow. For more information, visit WPP.com. Why we're hiring: The Data Engineer is responsible for the design, development, and implementation of scalable data solutions across the Azure Databricks platform supporting AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, ...
... using APIs, JDBC, or other integration frameworks. Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data. Design standardized data ingestion processes with automated error handling, retries, and alerting. Data Quality, Monitoring, and Governance: Develop data quality ...
... define project scopes, and translate them into data science problems.- Develop, test, and productionize models using Python, SQL, and PySpark on large-scale datasets.- Apply deep learning and advanced statistical modeling techniques for use cases such as classification, regression, recommendation, and personalization.- ...
... Kinesis.- Modern Data Stack : Design and scale a unified Lakehouse/Warehouse (e.g., Databricks, Snowflake) to handle both streaming telemetry and complex enterprise data (ERP, CRM, MES).- Data Pipelines : Build automated, resilient ETL/ELT workflows using tools like Apache Airflow, dbt, and PySpark to ensure high data quality ...
... strategies. Develop and maintain systems using Python, SQL, PySpark, and Django for front-end development. Work directly with clients and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks ...
... HVAC & cooling systems, BIM tools, NFPA/ASHRAE knowledge. Design, coordination & project delivery in high-tech facilities. Senior/ Officer Mechanical Engineer – Data Centres Location: Thane (Mumbai), India Job Type: Permanent Sector: Data Centres, Life Sciences & High Tech Salary: As per company norms About Deerns Spectrum ...
... in shared data. Lead data governance and compliance activities - Support the implementation of data governance policies, standards, and practices across the data platform. - Maintain metadata, data lineage, and business classifications — working with tooling such as Microsoft Purview to ensure the data catalogue is accurate ...
... technologies, alongside your own technical expertise and approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, ...
... technologies, alongside your own technical expertise and approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, ...
... mentor a team of data scientists AI/ML engineers. Explore emerging AI trends (multi-modal LLMs reasoning models autonomous agents) for HR use cases. https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS in Computer Science Data Science AI or related field Relevant years of experience in Data Science ...
... identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Prepares big data, implements data models, and develops database to support the business ...
... requirements and technical execution, ensuring high-quality solution delivery Mentor junior scientists on coding standards, experimental design, and model ethics Audit data quality and process integrity across the entire modelling lifecycle Mentor and guide junior data scientist Stay updated with the latest trends in data science ...
... Embeddings, Recommendation engines etc Collaborate with software engineering teams to design experiments, model implementations and new feature creation Clearly communicate technical details, strategies and outcomes to a business audience Requirements Requirements: 5+ years of hands-on experience in data science using techniques ...
... identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and ...
... Experience: 1 - 4 Years - A highly motivated self-starter mindset with the ability to take end-to-end ownership of data products. - BTech/MTech in Computer Science, Data Science, Statistics or a related quantitative field. - Expert in Python (Numpy, Pandas, Polars, Multiprocessing etc) and advanced PostgreSQL (complex joins, window ...