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Develop and maintain ETL processes to ingest, transform, and load data from various sources into Databricks Delta Lake. · Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Your deep expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be the cornerstone in architecting a robust data mesh that ensures data is accessible, reliable, and provides actionable insights across the organization.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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3+ years of experience developing scalable Databricks ETL solutions for reporting and analytics. We are seeking an experienced Data Engineer (DataBricks) to join our team! Data Engineer (DataBricks.
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5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera. Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime.
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Experience managing databases, Azure Data Platform services (Azure Data Lake (ADLS), Data factory (ADF), Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB), SQL Server, Oracle, Data Warehouse etc.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with Azure/AWS cloud technologies with data transformation via DataBricks or dbt. Exposure to Snowflake and/or Databricks. Expertise working with ETL tools such as SSIS, Azure Data Factory, or dbt.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience in developing & building high to medium complex data pipeline for Enterprise Data Hub using ADF, Databricks, DBT, Azure Cloud Services, MS SQL Server ADW/DB, Python, PySpark, Devops. Deep knowledge & understanding of Azure technology stack: Azure Data Factory, Databricks, Synapse SQL Architecture, Azure DevOps.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Implementing data pipelines and ETL processes using Azure Databricks. Title -Azure Databricks Delivery ArchitectLocations: Calgary, Vancouver and Edmonton (Hybrid )Job SummaryWe seek a passionate and experienced Managing Solution Architect with a strong background in Azure to lead our cloud initiatives.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Exp designing and delivering data engineering solutions with Databricks Exp in Azure Databricks Experience in Data Engineer in zure Big Data Environment Expertise in ETL tools i.e. (Infomatica, Talend, SSIS, Data Stage) Expertise in Implementing Data Warehousing Solutions Exp with working in Agile (KANBAN, Scrumban) environment Exp in zure stack ( zure Data Lake, zure Data Factory) Exp in Scala or Python, T-SQL.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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SQL: 1+ Years (Preferred) Data Warehousing (Snowflake, Databricks, Redshift, BigQuery, Clickhouse, etc). Craft robust ETL and ELT pipelines using tools like dbt, Fivetran, Airbyte, Matillion and/or custom Python.
RemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs, as well as to continually improve the operations, monitoring and performance of the data warehouse.
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2+ years of data warehousing experience (Redshift , Snowflake , Databricks, etc.) Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark. 5+ years of experience as a data engineer building ETL/ELT data pipelines.
ExpandApply NowActive JobUpdated 4 days ago
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