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Databricks, Data Lakehouse architecture, modern data pipelines experience a plus. The Senior Data Engineer is primarily responsible for participating in the design, development, and implementation of solutions for the data warehouse.
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Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) 2+ years of experience in cloud ETL tools(Azure data factory, AWS glue) Interpret and analyze data using SQL from various source systems to support data integration and reporting needs.
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3+ years with data processing systems in Azure (Data Lake storage, DataBricks, Data Factory, Event Hubs, etc.) As a member of the Data and Analytics team, the Sr. Data Engineer role will contribute to the success in both the daily operations and long-term strategy of the organization’s data assets.
$120,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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An Excellent Full time opportunity 100% onsite for a Senior Data Engineer with our direct client in Irving, TX. Job Title: Senior Data Engineer/Full time 100% onsite role. Senior Data Engineer (100% onsite Full time role.
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DataBricks Unity Catalog is a plus. · Azure Databricks platform. We are looking for Data Engineer to work out of Dallas, TX. · Data Visualization experience. · Azure Data Factory.
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Databricks experience is a nice to have. 2+ years of experience in some of the Big Data technologies: Hadoop (HDFS, Hive, Impala) or Kafka or Spark. 2+ years of experience building enterprise data platforms: Data Ingestion, Data Lake, ETL, Data Warehouse, Data Access Patterns/APIs, Reporting.
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5 years of experience in creating data pipeline in spark/databricks. Experience implementing data bricks unity catalog and governance. Experience with implementing data masking.
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Process streaming data by developing real-time data processing and streaming analytics solutions with Apache spark streaming and structured streaming in DataBricks. Optimize data processing and performance using partitioning, indexing, and caching techniques within DataBricks and PySpark environments to enhance data processing and query performance.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience. Design, develop and maintain data pipelines using Databricks and Microsoft Azure services.
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Familiarity with CI/CD tools (GitHub, Jenkins, UCD) and data storage solutions (PostgreSQL, MS SQL, Amazon RDS/Aurora, Databricks, Snowflake. Oversee the implementation and use of data storage solutions, including PostgreSQL, MS SQL, Amazon RDS/Aurora, Databricks, and Snowflake.
Part-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Work with big data technologies like Azure Databricks, Apache Spark & Palantir. Key skills needed are hands-on MLE experience, Python, Pyspark/Databricks, GenAI (NLP/LLM), Vector DB, Deep learning framework, and Azure.
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Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. Strong hands-on experience in Databricks. Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering.
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We are looking for a Sr. Data Engineer – Azure & Databricks to join us as we build cutting-edge technology solutions! You must be passionate about data engineering, possess a solid background in Azure and Databricks, and thrive in a collaborative and innovative environment.
$146,400 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, DeltaLakewith Spark SQL, Delta Live Tables, Unity Catalog. The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions.
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Experience with common data languages (e.g., Python, Scala) and data warehouses (e.g., Redshift, BigQuery, Snowflake, Databricks) Topgolf is seeking a Data Engineer to help drive their mission for advanced insights by building best-in-class data.
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databricks job Title: data engineer in Dallas, TX
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