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Hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming. · Hands-on experience with Databricks. · Bachelors Degree (preferably in Information Systems, Computer Science, Electrical Engineering, Computer Information Systems, or related field) · Hands on experience with Scala.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Must have technical “Hands-on” experience in implementation of data solutions and related downstream systems like data lake using technologies like Informatica IICS, Databricks Python, ADF, Snowflake and other Azure Databases.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Seeking an experienced hands-on enterprise Data Engineer Lead. You will be supporting the move to cloud for the first time in history for this company. 3+ years hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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This is an excellent hands-on opportunity to experience the latest technologies and make a significant impact on our data-driven initiatives. Knowledge and hands on with Jenkins pipelines and CI/CD.
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Hands on Experience working with AWS services including Glue, S3, EKS, Data Pipeline, Step functions and establishing connectivity to AWS services like RDS from Informatica, data stage, Apache Spark.
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Hands-on experience with data integration platforms including Data Stage, Talend, Ab initio, Informatica. Install, configure and manage enterprise data integration platforms including Data Stage, Talend, Ab initio, Informatica and AWS Glue in AWS cloud environments and in on-premises infrastructure.
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Job Title- Lead Azure Data Engineer/ Architect [Strong hands on with SQL, Pyspark, Databricks & Azure cloud] Must be a hands-on lead engineer with minimum 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc.
ExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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3+ years Hands-on experience building, testing, and optimizing ‘Big Data’ data ingestion pipelines, architectures and data sets. REQUIRED SKILLS: Must have hands-on experience with Databricks.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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3+ years of hands-on experience with cloud data warehouses like Snowflake or Amazon RedShift. 3+ years of hands-on experience with Data Visualization tools like Power BI and Tableau.
RemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Hands-on experience with dbt for data modeling and transformations. 5+ years of experience in data engineering, with a strong focus on AWS, Redshift, and Snowflake.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Conduct hands-on evaluation and testing of tools and technologies, including Databricks and Azure , to support data platform management, data extraction, UI/UX presentation, and generative AI.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Extensive hands-on experience working with cloud data warehouse and data lake platforms like Databricks, Redshift or Snowflake. Extensive hands-on development experience in Python, SQL and Bash, pytest.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
$75,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Provide subject matter expertise and hands-on delivery of data acquisition, curation, and consumption pipelines on Azure, Databricks, AWS, Confluent. Hands-on experience implementing analytics solutions leveraging Python, Spark SQL, Databricks Lakehouse Architecture, orchestration tools Kubernetes, Docker.
ExpandApply NowActive JobUpdated 25 days ago
hands on jobs Title: data engineer in Parkville, Maryland
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