Data Engineer - Databricks

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United States

United States

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divh2Data Engineer/h2pIn todays rapidly evolving technology landscape, an organizations data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge. At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible. For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps./ppWe are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for more than just a Data Engineer, but a technologist with excellent communication and customer service skills and a passion for data and problem solving./ppLead and architect migrations of data using Databricks with focus on performance, reliability, and scalability./ppAssess and understand ETL jobs, workflows, data marts, BI tools, and reports/ppAddress technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products/ppExperience working with database/data warehouse/data mart solutions in cloud (Preferably AWS. Alternatively Azure, GCP)./ppKey must have skill sets - Databricks, SQL, PySpark / Python, AWS/ppSupport an Agile software development lifecycle/ppYou will contribute to the growth of our AI Data Exploitation Practice!/ppRequired:/pulliAbility to hold a position of public trust with the US government./lili2-4 years industry experience coding commercial software and a passion for solving complex problems./lili2-4 years direct experience in Data Engineering with experience in tools such as:/liulliBig data tools: Databricks, Apache Spark, Delta Lake, etc./liliRelational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL)./liliData pipeline and workflow management tools: Databricks Workflows, Airflow, Step Functions, etc./liliAWS cloud services: Databricks on AWS, S3, EC2, RDS (or Azure equivalents)./liliObject-oriented/object function scripting languages: PySpark / Python, Java, C++, Scala, etc./liliExperience working with Data Lake house architecture and Delta Lake /Apache Iceberg/liliAdvanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases./liliExperience manipulating, processing, and extracting value from large, disconnected datasets./liliAbility to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks./liliExperience manipulating structured and unstructured data./liliExperience architecting data systems (transactional and warehouses)./liliExperience the SDLC, CI/CD, and operating in dev/test/prod environments./liliExperience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alati on, Purview, or DataZone is a plus./liliCommitment to data governance./liliExperience working in an Agile environment./liliExperience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models/li/ul/ul/div

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