Data Engineer

This position will provide extremely relevant experience for recent entrants into the data center industry. It is intended as a development gateway to more senior positions in Design, Solutions Engineering and Project/Construction Management, and will be supported and mentored by senior design, engineering, construction, and operations staff members.

Data Testing: Implement comprehensive data testing procedures, including unit tests, integration tests, and validation checks, to ensure data accuracy and reliability.Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and product managers, to understand data requirements and provide actionable insights.Stay Current:...

Experience: Mid to senior-level experience in SQL development with comprehensive data engineering skills.Technical Skills: Proficiency in Spark, Python (or PySpark), and knowledge of data lakes (S3 and GCS), Redshift, Athena, and cloud-based systems, particularly GCP.

Collaborate with our engineering team to tackle complex challenges and deliver impactful solutions.Develop and maintain scalable solutions for handling foundational blockchain datasets.Ensure the security and reliability of our real-time data services, empowering our platform’s growth and scalability.

Analyze financial data and reconcile transactions. Contribute to data warehouse design and SQL procedures. Build and manage SAS jobs. Resolve discrepancies in financial data.

Utilize your expertise in Google Cloud Platform (GCP) to design, implement, and maintain scalable data pipelinesEnsure high data quality by implementing data pipeline testing and monitoringCollaborate with the team to build and optimize data transformation processes using Dataform, Airflow, and other GCP data engineering toolsWrite clean, efficient Python...

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)2 years of relevant experience in Data Science or Data Analysis2+ years of experience working with Python programmingA desire to have a significant impact on the field of artificial intelligence

Accessing and cleaning datasets in all shapes and sizes, including large-scale tabular data, knowledge graphs, and complex text corpora.Producing and maintaining analyses, reports, and visualizations to discover and explain valuable insights.Implementing data pipelines and Machine Learning solutions to solve complex problems while writing well-designed,...

The ideal candidate has sales experience and customer support in structural design software for civil engineering, like engineering companies, professionals and specialized software reselles.They should be skilled at building and maintaining relationships with clients and work to provide the first level of support to the customers.

Design, develop, and maintain big data infrastructure and data pipelines.Work closely with data scientists and analysts to understand their requirements and translate them into technical solutions.Optimize and tune data pipelines for performance and scalability.Implement data security and privacy measures to protect sensitive information.Troubleshoot and...

Data Pipeline Development: Building and maintaining ETL (Extract, Transform, Load) processes using Datastream, Dataproc, and Dataflow to ensure that data is accurately transformed and loaded into data warehouses like BigQuery.Data Transformation: Implementing business logic and data transformations within the data pipeline to ensure that the data is in the...

Data Collection and Processing:Collaborate with data engineers to identify and acquire relevant data from various sources, including databases, data warehouses, APIs, and external datasets.Clean, transform, and preprocess raw data to ensure accuracy, consistency, and compatibility for analysis. Data Analysis and Interpretation:Apply statistical techniques,...

Strong knowledge of data modeling methodologies, architectural patterns and data management best practices.Strong Azure experienceProfessional experience in data management, with a focus on data architecture or data engineering, coupled with technical leadership.

Design, develop, test, and deploy data integration solutions based on business requirementsCollaborate with team members on data integration designs and alternativesTroubleshoot and resolve production issues

Design, implement, and manage security measures and data protection strategies using BigID data discovery and classification tools, as well as relational database technologies and data analytic tools.Lead the development and enforcement of data governance policies and procedures to ensure compliance with GDPR, CCPA, PCI-DSS, and other relevant data...

Based in Germany, as a Data Scientist at EDB, you will play a crucial role in analyzing complex data sets to uncover actionable insights, support data-driven decision-making, and contribute to the development of innovative data solutions. You will work closely with cross-functional teams (Sales Engineer, Sales, Product, ,...) to understand business...

We are seeking an Automation Quality Assurance Engineer to join our Data Streaming team. Our team develops and maintains analytics services for near real-time processing of user trading activity on the platform, as well as several infrastructure services. We use Scala, ZIO, Kafka, and Postgres, microservice architecture, and event sourcing. The tasks we...

Design and implement advanced geospatial mapping experiences. You will leverage your knowledge of geospatial data and front-end development to create intuitive and interactive mapping solutions that visualise complex environmental data. On a typical day, you might pair program with other engineers and geospatial analysts to design and implement interactive...

Bachelor’s/Master’s degree in Computer Science or a related field.At least 3+ years of experience as an AI Engineer.Proficiency in Python, TensorFlow, AutoML, and/or PyTorch.Experience with Multi Objective Decision Engine, Game Thoery and Behavioral Analytics

Design and implement scalable and efficient data models for our Core data mart.Develop and optimize SQL queries for analytical and reporting purposes.Improve data team productivity by contributing components to our data processing, transformation, orchestration, and messaging framework(s).Build data observability systems to provide near real-time visibility...