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3+ years of experience in using tools like Databricks, Snowflake, python, pyspark, AKS. Python, PySpark, Snowflake & Databricks experience. 3+ years of experience in using tools like Databricks, Snowflake, python, pyspark, AKS.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Microsoft Azure, ADF, Databricks. Mandatory – SSIS, SQL / SSIS /SSRS, airflow, Control M, Autosys, Qlik view, Data stage, Informatica Python/Scala/PySpark Reverse engineering of Legacy platforms Mapping of Legacy models to Cloud Cloud migration experience from Legacy Skills Required: + years of experience required Strong experience in SQL / SSIS /SSRS Orchestration experience with any scheduler (airflow, Control M, Autosys etc.
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Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) Experience working with data warehouse tools(Snowflake, Databricks, Redshift etc.) 4+ years of experience in software testing (feature analysis/test planning/ test case authoring, black box/grey box test execution, defect reporting.
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2+ years of experience in cloud ETL tools(Azure data factory, AWS glue) Strong SQL proficiency for story/bug verification and functional test automation. 2+ years of test automation and coding experience for a web or mobile-based product.
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Experience working with APIs for data retrievalExperience working with data warehouses and big data tools (e.g., BigQuery, Databricks)Experience creating data/table architectureExperience implementing QA processes and QA automationExperience integrating data models within softwareExperience working with marketing, analytics and customer dataPay Transparency.
$62,000 - $93,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Databricks, AWS Glue, Ascend. Databricks, AWS Glue, Ascend. Familiarity with Git, Jenkins, Docker, AWS S3, IntelliJ, PyCharm, Jira. Experience with PostgreSQL, Parquet, Delta Lake. Test data pipeline workflows end to end: data loads, data structures, data transformations, and overall data quality.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Proficiency in understanding modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
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Experience testing Databricks integrations. Experience testing Databricks integrations. Validate Data Migration and data migrated to integration systems. Experience testing integrations with Mulesoft.
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Drive reporting through the use of available technology (Tableau, Power BI, Alteryx, SAP) and develop technical solutions for an effective, efficient data analytics platform. Knowledge of master data, metadata, reference data, data warehousing, database structure, and business intelligence principles and processes, including technical architecture.
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Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
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Understand various data storage solutions, including extract, load and transform technologies built using our Databricks Lakehouse architecture on Microsoft Azure, working with the Data Engineering team as needed.
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8+ years on Coding (Python, Java, Scala, or other programming languages), Data warehousing, Database systems (relational and NoSQL), Data analysis, Cloud computing (Azure), Big Data (Hadoop, Hbase), Pyspark, Azure Deltalake, Databricks, DBT, Healthcare domain experience.
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1 or more years of experience working with non-rdbms data warehouse/lake stores (such as Big Query, Snowflake, Databricks Delta Lake, or Redshift) · Experience with the Databricks platform tools such as Delta Lake and Unity Catalog.
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databricks job in Golden Valley, MN
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