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Join us in a dynamic role as a Databricks data engineer, where you'll dive deep into the heart of cutting-edge data infrastructure within Azure's cloud environment. Exciting Opportunity: Databricks Data Engineer.
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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. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Familiarity with Snowflake or DataBricks is a plus. Experience on Data pipelines and workflow management tools ( Airflow) Cloud-based solutions (e.g. AWS Google Cloud). Develop Data Pipelines using Java/Scala and Apache Beam Dataflow to move data or transform data.
$110,400 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 8 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.
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Knowledge and/or experience working with Apache Spark/Databricks. Senior Big Data Engineer - Homes.com. Homes.com is growing quickly and were looking for a Senior Data Engineer to help accelerate our growth.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. For Senior Data Engineer (III) As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Tech skillsAdvanced knowledge of Databricks architectureExperience working with various cloud providers (AWS, GCP, Azure)Previous use of Databricks in their most recent roleExperience working in a start up environmentKnowledge of big data technologies (Hadoop, Pyspark.
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Experience with Snowflake, Databricks, Spark SQL, PySpark, and Python. Responsibilities of the Data Engineer. Qualifications for the Data Engineer. Use Continuous Integration/Continuous Delivery (CI/CD) concepts to engineer a standardized data environment.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Skills: Data Engineer - Python, Spark/PySpark, SQL, Java, AWS- Lambda, S3, EMR, Glue, Snowflake, Databricks, AWS Certification Strong Preference. Skills: Data Engineer - Python, Spark/PySpark, SQL, Java, AWS- Lambda, S3, EMR, Glue, Snowflake, Databricks, AWS Certification Strong Preference.
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Hands on experience in building and training models with Databricks AutoML is a plus. Specific roles on this project inside an AWS environment include: (i) implementing data pipelines, for batch and streaming data sources, from external feeds into a cloud-based data lake and eventually into data warehouses; (ii) implementing data cataloging to share metadata information for datasets in the data lake; (iii) using AWS serverless components in the data pipeline architecture; and (iv) using IaC tools to deploy the pipelines within AWS.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Databricks Data Engineer Professional and Databricks Machine Learning Professional certifications a plus. Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data.
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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. Overview BigBear.ai is seeking a Data Engineer to support a program in Crystal City, VA (Hybrid 2-3 days in office.
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Experience with distributed data and computing tools, including Spark, Databricks, AWS EMR, Informatica, Nifi, or Airflow. As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
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databricks job Title: data engineer in Washington, DC
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