... evaluating and implementing data-engineering and software technologies - In addition, you have experience in programming languages and frameworks: SQL, Python, Spark, Databricks (Delta Lake) - Experience in data storages - SQL and NoSQL databases, Azure Data Lake Storage- and in developing data solutions, models, API and software ...
... scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing - 2+ years of hands-on experience with SSAS Tabular Models - Experience designing data ...
... clients span autonomous mobility, medical AI, agriculture, and more—powering next-generation AI systems with high-quality data services. We are seeking a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines ...
... Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate with cross-functional teams including data analysts and engineers. ...
... contribution, technical team management, and client interaction. - Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights - Drive excellent project management required to deliver complex projects, including effort/time estimation. - Be proactive, with full ...
... world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks , you ...
... OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience ...
... and orchestrate datasets. Perform routine data monitoring, quality checks, and troubleshooting to maintain data integrity and workflow performance. Collaborate with data analysts, data scientists, and senior engineers to deliver data solutions. Document workflows, dataset schemas, and data engineering best practices. Required ...
... sites. Maintaining data center documentation. Core business hours for planning and monitoring Weekends and out-of-hours work for physical infrastructure changes (with time off provided during the week) As our next Data Centre Engineer, you'll need to have: Attention to detail within a data center. Ability to identify basic ...
... Ensure the reliability, scalability, and efficiency of data pipelines for ingestion, transformation, and storage. Work with cross-functional teams to understand data needs and deliver high-quality solutions. Troubleshoot and resolve data pipeline issues in production environments. Apply data quality and governance best practices, ...
... references, data contracts) or multi-project dbt architectures. - Exposure to data ingestion tools such as Fivetran, Airbyte, or AWS Glue for loading source data into Snowflake. - Experience working with business application data (e.g., Salesforce, Workday, NetSuite) and understanding its quirks. - Familiarity with BI ...
... creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their 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 ...
... 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 ...
... creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their 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: ...
... lakehouse layer powering self-serve analytics. Write performant Spark/PySpark and SQL; optimize partitioning, storage formats, and query cost. Data Quality & Reliability (10%) Own data quality: validation, freshness/SLA monitoring, and observability so bad data is caught before it reaches consumers. Make the data layer debuggable: ...
... 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 ...
Roles and Responsibilities Architect and maintain enterprise-grade ELT and ETL data pipelines using Python, PySpark, Kafka, and Databricks to manage large-scale risk data. Build and deploy GenAI agents utilizing Google ADK, Google Flash 2.5+ LLMs, and Model Context Protocol (MCP) integrated with Human-in-the-Loop workflows. ...
... Solutions Architect Associate or Professional, or equivalent) Meaningful work with direct impact on patient and worker safety across thousands of licensed US facilities Greenfield data platform work on a modern AWS stack — you will shape the architecture, not inherit it Senior-level autonomy with cross-functional influence ...
... 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 and orchestration. ...