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NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Data Engineer with Databricks Location: Remote Duration: 6+ Months Daily Responsibilities: Design, develop, test, deploy, maintain, and improve software applications and services.
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To learn more about CIBC, please visit CIBC.comWhat You’ll Be DoingAs a Software Engineer on the US Risk Technology team, you’ll serve as a technology partner for the US risk management function.
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Solid understanding of relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB, Snowflake, Databricks, Redis, ElasticSearch, etc. Work with cloud platforms (Azure, Databricks, GCP, AWS, etc.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Qualifications Requirements: Bachelor's degree inputer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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Develop software systems in an Agile development environment and on AWS cloud-based platform using Python, Spark, Scala, Databricks, NEO4J, and AWS. 3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.
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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Develop and maintain scalable, reliable, and cost-effective data solutions using AWS technologies and big data tools like Databricks, Airflow, and Dremio. Proven experience as a Data Engineer, Data Reliability Engineer, or in a similar role in an SRE environment.
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3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. Airline Industry Experience.
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You'll play a key role in developing and managing cloud environments using Terraform, with a focus on building out core infrastructure for Databricks and GCP. Your work will be integral to modernizing our client’s data platform, ensuring reliable, efficient, and scalable cloud operations.
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In this role as a software engineer on our data team, you will play a key role in shaping how we collect, process, and utilize data from our drones, driving deeper insights into drone performance and customer usage.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. The Data Capture team is seeking to grow their team of world class Software Engineers that share their charisma and enthusiasm for making a positive impact.
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Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. 5+ years of software engineering experience developing backend applications. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
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databricks software engineer jobs Title: data engineer scientist
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