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Renew Home is hiring a senior backend engineer for its HVAC Ecosystem team to build customer-facing features and third-party smart-device integrations for the largest residential virtual power plant in North America. Day to day is Python backend work with PostgreSQL, Celery, Redis, and AWS/GCP cloud infrastructure.
Software Engineer III on EA's Enterprise Intelligence team, designing and owning large-scale distributed systems and real-time streaming data pipelines that power a unified big-data platform across all EA game franchises. Core stack includes Java, Kafka/Flink streaming, AWS, relational/NoSQL databases, and Docker/Kubernetes. Hybrid role in Kirkland, WA.
About the Role Job ID 297691 Location Denmark Midtjylland Brande Country: PORTUGAL State/Province/County: Lisboa City: Lisbon Company Siemens Gamesa Renewable Energy A/S Organization EVP Global Functions Business Unit…
Build the analytical foundation for global retail success Are you passionate about turning data into business value and creating analytical capabilities that influence decisions across a global retail organization? We…
Senior Data Analyst acting as the organization's senior technical resource for ERP-based reporting: designing and maintaining Power BI semantic models, dashboards, and Lasernet reports on Dynamics 365 Finance & Operations data using SQL, DAX, Power Query, and Microsoft Fabric for finance and operational teams. On-site in Idaho Falls, ID or Antigo/Wausau, WI.
Triangle Cyber is hiring a Cybersecurity Solutions Architect/Engineer to build expert-level AI/ML analytics on Databricks that detect cybersecurity threats and fraud for a U.S. federal client. Day to day they architect secure AI solutions (LLMs, computer vision, MLOps), lead data science/engineering teams, and manage multi-engagement delivery using Python, SQL, Tableau, and AWS.
Senior Data & AI Engineer in Protiviti Italia's Data & AI consulting practice: designs and builds enterprise data pipelines and modern data architectures (Data Lake, Data Warehouse, Lakehouse), preferably on Azure, supports AI/ML and Generative AI use cases, and works directly with clients while mentoring junior engineers.
Junior Data Analyst at Calibrate (a healthcare/obesity-care company) supporting the data team by running ad hoc analyses, tracking KPIs, and building dashboards and scorecards for internal teams and clients. Core work centers on SQL, spreadsheets, and BI tools while partnering with clinical, operations, product, and finance teams.
JOB SUMMARY Choice Hotels is seeking a results-driven Senior Director, Group, Meetings & Events to lead the strategy, growth, and performance of the company’s group sales business. This role leads a team of Group…
Product Owner (with ~10 years of IT experience) at IT consultancy Aubay Portugal: gathering stakeholder requirements, writing user stories, prioritising the backlog and steering data/analytics deliverables through to user acceptance testing for clients in banking, insurance, telecoms and energy. Core stack: SQL, Power BI and Databricks; fluent Portuguese required.
Senior Data Engineer for a Professional Services & Accounting client, designing and running scalable ETL/ELT pipelines and governed Lakehouse data models. Core stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, ADLS Gen2; hybrid role in Bangalore for candidates with 5–9 years of experience.
A senior data engineer who designs, builds, and optimizes scalable batch and streaming ETL pipelines on the Databricks Lakehouse Platform. Core technologies include PySpark, Spark SQL, Delta Lake, Delta Live Tables, Unity Catalog, cloud platforms, and Git-based CI/CD, with mentoring and ML productionization support.
Senior data architect (10-12 yrs) who designs scalable, secure multi-cloud data architectures across AWS, Azure, and GCP, supports pre-sales via demos, PoCs, and RFP/RFI responses, and mentors junior architects. Core tech: BigQuery, Synapse, Redshift, Databricks, Python, ETL/ELT, data governance, MDM.
Senior Azure Data Engineer in Chennai (5 days onsite, rotational UK/US shifts) building and maintaining scalable data pipelines on Azure. Day to day: ETL/ELT with Azure Data Factory, transformations with PySpark, Microsoft Fabric workloads, Medallion architecture, and CI/CD for data workflows. 7–10 years experience; max CTC ₹20 LPA.
TCS Data & Analytics is hiring a Data Engineer (5-8 years) to build, deploy, monitor, and optimize batch and streaming ETL pipelines on GCP using Scala, Spark, Airflow, BigQuery, Kafka, and Dataproc, including Medallion architecture, observability, and performance tuning. Pan-India work location.
Senior Data Engineer at DataWeave writes scalable Python crawler bots (with reverse engineering) and builds big-data pipelines to aggregate and analyze billions of public web data points, delivering competitive retail intelligence to customers via robust APIs and reliable, high-quality data infrastructure.
Tata Consultancy Services is hiring a Kafka Data Engineer in Pune to design and maintain scalable AWS data pipelines, build real-time streaming solutions with Apache Kafka, and develop/optimize large-scale ETL/ELT pipelines. The role targets candidates with 6–15 years of experience and includes monitoring, troubleshooting, and collaborating with cloud and analytics teams.
Senior Data Engineer who designs, builds, and optimizes cloud data platforms on Microsoft Fabric and Azure. Day to day involves building Fabric Lakehouse, Data Warehouse, Data Factory, and Real-Time Intelligence solutions, writing PySpark/Spark and T-SQL pipelines, managing ADLS Gen2 storage, implementing CI/CD via Azure DevOps, and supporting Power BI.
Principal Data Engineer who owns and evolves Styli's data platform, leading a hands-on migration from BigQuery to a Databricks lakehouse (Delta Lake, Unity Catalog) on GCP while building batch/streaming pipelines and mentoring senior engineers. Core stack: Databricks, Airflow, dbt, Kafka, Python/PySpark, SQL.
Lead Data Engineer designing, building, and optimizing scalable ETL/ELT data platforms on Oracle and Google Cloud Platform. Day-to-day work centers on OIC integration development, API management, data quality controls, and troubleshooting, using SQL, PL/SQL, Python, BigQuery, and Airflow/Cloud Composer.
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