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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Experience with at least one big data technologies platform (Apache Spark, Snowflake, cloud-based platforms – Microsoft Azure, AWS etc.) Proficiency in programming languages such as Python, R, SQL with the ability to manipulate and analyze structured and unstructured data - including at least one of JavaScript, C#, or other web development tools.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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4+ years of experience with Big Data technologies including Spark/Databricks, Hadoop, and varying types of Azure Storage. 8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel.
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An experienced Solutions Architect well versed in designing & modernizing big data architectures on Google Cloud Platform (GCP). GCP Data & Analytics Solution Architect with 12+ years of experience in Data Analytics and Big Data.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Build and maintain data pipelines and ETL processes using tools such as DBT Labs and Databricks. Implement robust security and compliance measures in Azure, Snowflake, and Databricks to protect sensitive data and meet regulatory requirements.
$123,100 - $169,212.5 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years’ experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB and other big data technologies. Implements big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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Proven experience leading Databricks migration projects and expertise in PySpark, Airflow, SSIS, Azure Data Factory, SQL Server, and Python scripting. Migrate existing workloads from SSIS, Azure Data Factory, Python, SQL Server, and other data processing and transformation tools without altering existing functionality.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Experience with at least one cloud provider (AWS, Azure, GCP), including their big data processing services.
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Leverage cloud-based big data services and architectures (AWS, Azure, or GCP) for processing large datasets. Experience with additional big data tools like Hadoop, Kafka, or similar technologies.
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Develop and deploy data interfaces that facilitate formats such as Health Language 7 (HL7), Consolidated Clinical Data Architecture (CDA/CCDA) and other types of healthcare data interfaces via Mirth applications such as Connect, Results and Match.
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Experience with litigation practices and/or in-house counsel at large corporations is a big plus. Lawyers in our Dallas office serve all the firm’s practice and industry areas – including corporate, litigation, banking/finance, insurance law, healthcare law, labor and employment, estate planning, real estate, bankruptcy, intellectual property, white collar crime, and antitrust.
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big data jobs Company: Blackrock Inc in Dallas, TX
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