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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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This technology leader will bring in the experience of SaaS/cloud solutions (Snowflake/Azure/AWS), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art Data Architectures, Platforms and Services.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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The ideal candidate will possess a strong background in Data Center builds and management, VMware technologies, Azure, Active Directory, Exchange and SMTP relay, EMC storage, physical server technologies, and related Azure services.
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15+ years of hands-on experience in Data & Software Engineering and architecture/design. Oversee the design, development, and implementation of scalable and robust technology solutions for Customer Input Management that include Omni Shopper Input Management (OSIM), Super Omni Shopper (SOS), EU Panel Expansion, and output modeling and analytics platform Panel OnDemand (POD), Data Processing, Trip Calibration, Consumer and Shopper Explorer, and Discover Panel Integration.
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The ideal candidate is expected to have a deep domain experience in developing and supporting financial research analytics platforms at scale, experience supporting highly technical business teams, strong cloud architecture and application development experience with a history of advancing data engineering capabilities.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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You will be asked to collaborate with 3Cloud team members to deliver client data strategy engagements incorporating people, process, technology, and data to build a strategic roadmap designed to enable client digital transformation by implementing a strong data management foundation to support tactical technology projects and drive sustainable and scalable business value.
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QualificationsResponsibilities:Define and engineer core services and practices to enable distributed development teams to modernize our data infrastructureAdvise, mentor and assist distributed development teams on the best data architecture approaches to solve the business problem in line with Northern's strategic data infrastructure plans Partner with Data Governance team to ensure the interoperability between our data tooling and the metadata collections maintained in Collibra.
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Ability to build mock Proof of Concepts for Data Integration with Salesforce, Anaplan, Workday, NetSuite, SQL/Oracle DB, Snowflakeand a variety of Cloud-basedBusiness Systems for potential clients.
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Experience recruiting for technical talent for roles in IT Security, Data Science, and Leadership roles in Back End engineering and Data Engineering. Use data in all you do – an excellent storyteller who can inform on market insights to help shape and drive recruitment strategy.
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data engineering jobs Title: senior software engineer Company: Capital One in Chicago, Norwood, Massachusetts
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