... fit/gap analysis and design decisions Work with Solution Architects to identify system configuration needs and document functional requirements Ensure solution compatibility with documented architecture, security, and data standards Collaborate with other IT delivery teams to ensure efficient and effective design, development ...
... career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job Title: Data Engineer _DEPS Experience: 3–5 Years Location: Bangalore and Pune (Hybrid – Client Office) Job Summary: Seeking a skilled Senior Data DevOps Engineer having experience ...
... efficient code using Scala and Spark - Work with Azure or on-premises Hadoop ecosystem for data processing - Solve real-world engineering problems related to data infrastructure - Collaborate with cross-functional teams to deliver data-driven solutions - Ensure data quality, reliability, and performance across data systems ...
... own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Title: GCP Data Engineer Position: Data Engineer Experience: 5+ Years Work Mode: Hybrid (Capco Office) Design and develop scalable data pipelines using GCP and BigQuery. Build data ingestion pipelines ...
... Building data for ML: feature pipelines, training datasets, serving consistency dbt or similar transformation/modeling frameworks Docker, Terraform/IaC, CI/CD for data IoT, energy, or industrial sector experience. Not required, but it compresses your ramp Qualifications - https://jobeax.com/link/2DENLGgQM7whDhaE / B.E. / B.S. ...
... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...
... integrations for data-intensive applications on OpenShift and Kubernetes using robust CI/CD pipelines. Implement data federation layers supporting Lambda and Data Mesh architectures via Starburst to enable AI/ML and NLP use cases. Leverage agentic AI platforms and development assistants such as https://jobeax.com/link/FLl2iJ9Ts45AZ1a3 ...
... AI-powered suite that automates compliance workflows, dose analysis, and program management for radiation safety professionals. We are looking for a seasoned Data Engineer to take a lead role in shaping the data foundation across Landauer's growing portfolio of products. You will set the standards for how data is modeled, ...
... statistical https://jobeax.com/link/8gDiMYVOzINla3BW Responsibilities :- Build recurring insight packs and basic statistical summaries under supervision.- Run data quality checks and validate metrics.- Support test cases, documentation and data validation for dashboard https://jobeax.com/link/uZNeF9ElGyYiAC23 We Expect From ...
... of truth. Develops and operationalizes data pipelines to bring data into Costco’s GCP landscape for the delivery of certified data sets Works in tandem with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality ...
... background. Candidates who are already comfortable working in a remote or hybrid environment and are looking for a new project opportunity are encouraged to apply. The Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. ...
... practices including model governance and explainability- Establish data governance framework (catalog, lineage, ownership)- Ensure data quality, consistency, and compliance- Work closely with business leaders to translate requirements into data solutions- Lead cross-functional teams (data engineers, analysts, data scientists)- ...
... with the ability to process and analyze large datasets. Leverage data analysis/visualization tools (e.g., Alteryx, Python, Tableau) as applicable. Uphold strong data governance orientation (e.g., MDM) when working with critical client data. Communicate clearly in writing and verbally across varied stakeholder groups. Hold ...
... 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.- ...
... diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes. Kantar is the world's leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human ...
... coaching, performance management, career development, and team engagement. Data Architecture: Deep understanding of modern data architecture patterns including Data Lakes, Data Warehouses, Lakehouses, and Data Mesh, combined with experience designing and delivering cloud-based data platforms. Cloud and Data Engineering: Strong ...
Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference. Build, train, and fine-tune complex neural networks across text, audio, and visual modalities. Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed ...
... met without compromising on quality - Basic data handling and Data interpretation skills - Should be comfortable with 24x7 rotational shifts - Ability to pull data from numerous databases (using Excel and other data management systems) and to perform ad hoc reporting and analysis, as needed, is a plus. - Communicating with ...
... Statistical Analysis: Perform statistical analysis to interpret complex data sets and provide actionable insights. Proficiency in statistical programming languages. · Data Visualization: Create advanced data visualizations to communicate findings effectively. Big Data Technologies: Utilize Big Data technologies and platforms such ...
Role Overview :The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. This role sits at the intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience ...