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Build and optimize Databricks-based ETL/ELT pipelines and lakehouse data solutions to modernize an enterprise data platform, using Python, SQL, and cloud-native tooling.
Design and build data integration pipelines, analytics solutions, and dashboards for Amgen’s Global Medical teams using Databricks, AWS, Tableau, and Python to deliver actionable insights from medical data.
Designs and implements scalable cloud data platforms (AWS/Azure/GCP) using Databricks/Snowflake, focusing on data modeling, integration, and governance for enterprise clients.
Designs and maintains secure data pipelines and platforms for government AI/ML projects, converting raw data into governed, machine-learning-ready formats to power predictive analytics and generative AI applications.
Job Title: Data Engineer Department: Department of Health and Mental Hygiene Division: Center for Population Health and Data Science Bureau: Data Technology and Strategy Location: 42-09 28th St, Long Island City, NY…
Lead Software Engineer - Network Automation Location: Bengaluru, Maruthi Onyx - TESCO TSA Time Type: Full time Job Description Job Description Purpose of the role To design, develop and improve software, utilising…
Data Modeler/Architect - VP Location: Pune, Gera Commerzone SEZ Time Type: Full time Job Description Job Description Purpose of the role To implement data quality process and procedures, ensuring that data is reliable…
Build and maintain data pipelines, streams, and warehouses using Talend, PySpark, Kafka, and AWS services for a client in Reading, PA.
Monitor and respond to security alerts across endpoint, cloud, identity, and network telemetry using SIEM/XDR tools, investigate incidents, tune detections, and help build SecOps processes for a maritime autonomy company.
Build and maintain Amazon’s advertising data warehouse and ETL pipelines using AWS, Redshift, and Python to power sales analytics and reporting for advertisers and vendors.
Build and deploy ML/computer-vision models in Python to analyze manufacturing data, clean and model signals, and collaborate with R&D to improve production quality and efficiency.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses using Spark, Kafka, Airflow, and BigQuery to transform raw data into reliable systems for analytics and ML.
Build and maintain scalable data pipelines, ETL/ELT solutions, and data warehouses using PySpark, AWS, and modern data platforms to process and analyze large-scale financial data securely.
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms to power enterprise analytics and ETL workflows.
Leads enterprise-wide AI architecture strategy, governance, standards, and adoption roadmap for Smith+Nephew. Works with Generative AI, LLMs, RAG, vector databases, MCP, A2A, and cloud AI platforms like Azure/OpenAI to define enterprise AI standards and integrate with ERP/CRM systems.
Architect and build scalable backend systems for AI-native applications using Java and Python, focusing on RAG and multi-agent collaboration platforms at Adobe’s Experience Platform.
Design and implement enterprise-scale data platforms using Databricks, Azure/AWS/GCP, and Medallion Architecture to power real-time analytics and data products.
Leads a team to modernize Unum’s hybrid cloud/on-prem data platforms (Azure Synapse, Databricks, ADF) and pipelines, driving AI/analytics adoption while setting engineering standards, reducing technical debt, and collaborating with cross-functional teams.
Lead cross-functional programs to streamline AWS revenue data pipelines, transforming billions of daily billing transactions into actionable insights for finance, sales, and analytics teams.
Amazon Web Services Open Data Analytics (ODA) organization is looking for exceptional engineers to help in our mission to provide the world’s best cloud Big Data processing platform and services such as EMR and Athena.…
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