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Stratesys is seeking a Senior Big Data Engineer to design Lakehouse architectures, optimize ETL/ELT pipelines, and develop cloud-based data solutions. The role involves working within the Data & Analytics team with a hybrid work model in Spain.
Data Engineer focused on Palantir Foundry solutions, responsible for data modeling, ETL/ELT pipelines, security, and governance, working on-site in Spain.
VivaGym Group is seeking a Data Engineer to manage data flows, integrations, and database infrastructure for their gym business. The role involves automating data pipelines, ensuring data quality, and collaborating with stakeholders using technologies like SQL, Python, and the Microsoft data stack.
The Data Engineer will develop and maintain data pipelines, implement ETL/ELT processes, and manage data models within Amazon S3 and Redshift. The role involves writing SQL, participating in code reviews, and supporting deployment cycles.
The Data Engineer will develop and maintain ETL/ELT pipelines, manage data in Amazon S3 and Redshift, and implement business logic using Python, SQL, and various data integration tools. The role involves working within an agile team to support data infrastructure, code quality, and system deployments.
Build and optimize clinical data pipelines using SQL, Databricks, PySpark, and AWS/Redshift to support clinical research and medical device studies at a diabetes-focused medical device company.
This Senior Data Engineer role involves designing and managing large-scale data platforms, ETL pipelines, and governance frameworks for a leading AI and quantum software company. The position requires expertise in Python, SQL, cloud data platforms, and distributed processing frameworks like Spark to support AI and machine learning initiatives.
T-Maxx International is seeking a Data Engineer to design and maintain scalable data pipelines and ETL/ELT processes. The role involves optimizing SQL queries and managing data warehouses to support reporting and analytics.
The Data Engineer will design and maintain scalable data platforms within Google Cloud, focusing on optimizing ETL/ELT processes for advanced analytics. This is a hybrid role requiring 3 days of on-site work per week.
HCLTech is looking for a Big Data Engineer to design and optimize large-scale data pipelines using Python, Spark, Hive, and Airflow. The role involves building ETL/ELT workflows on platforms like Databricks and Snowflake while collaborating with product teams.
The Data Engineer, Data Platform will build and operate the data capabilities that help AHEAD teams access trusted, usable, and well-managed information. This role will develop ingestion pipelines, transformations,…
Design and build classified AWS data lake solutions (S3, Glue, Lake Formation, Athena, Redshift) with ETL pipelines and data governance frameworks for the intelligence community.
This role involves designing and maintaining scalable ETL/ELT data pipelines and data models to support capital markets, fraud screening, and financial crimes initiatives. The engineer will work with Python, SQL, and Snowflake on cloud platforms to ensure data quality and security.
The Data Engineer will build and maintain large-scale data pipelines and lakehouse architectures to process billions of daily events for an AI-powered productivity platform. The role involves designing ETL frameworks, ensuring data quality, and collaborating with cross-functional teams to support data-driven product features.
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.…
The Senior ETL & Data Architect will design and manage data pipelines, warehousing, and governance to support business intelligence and analytics. The role involves utilizing AWS infrastructure and BI tools like Tableau and Power BI to ensure high-quality data delivery.
The Data Engineer will design and optimize scalable data pipelines and transformation workflows using a modern cloud-native data stack. The role involves collaborating with cross-functional teams to ensure efficient data ingestion, validation, and delivery within a cloud environment.
Data Engineer building and maintaining ETL/ELT data integration solutions using Informatica and Snowflake, optimizing warehouse performance and ensuring data quality.
Data Engineer owning and developing a Snowflake data warehouse, building pipelines between Oracle and Snowflake, and supporting ESG data analytics and client reporting for a global fund administration firm.
Design and maintain data pipelines using Informatica and Snowflake, delivering ETL/ELT solutions, integrating data from multiple sources, and ensuring data quality while collaborating with analysts and engineers on scalable workflows and production support.
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