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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.
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Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud and Artificial Intelligence.
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Chewy's Data Analytics team has an exciting opportunity for a Senior Data Engineer (Data Engineer III) to join the pack. Professional Experience: At least 5 years of experience in data engineering, with a strong focus on data integration and pipeline construction in cloud environments and enterprise data warehouses like Snowflake.
$134,500 - $215,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Background with or understanding and/or hands-on experience with back-end cloud data (GCP, Big Query, Snowflake, etc.) Experience with cloud data environments (GCP - Google Cloud Platform, Big Query, Snowflake, or AWS.
$50 - $65 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong proficiency in data pipeline and ETL design, with hands-on experience in tools like Apache Airflow, Apache NiFi, or similar. As a Senior Data Engineer at WorkWave, your role will be pivotal in supporting our AI/ML initiatives by assisting in the creation and optimization of the data architecture that powers our advanced analytics.
$110,000 - $140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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SynergisticIT continues to work with hundreds of satisfied American clients with our software programmers working on our projects and after gaining hands on experience on cutting edge technologies moving to contribute their skills to great clients like Apple, Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more.
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Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It’s native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB, DataFlow and Vertex AI.
$92,700 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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5+ years of hands-on experience with data integration tools, data analytics, data governance, and master data management. Expertise in architecting data lakes and data warehouses, with hands-on experience using cloud technologies such as S3, ADW, Spark, Hadoop, or Cassandra.
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Must have six (6) years of experience with: Hands-on software development, data engineering, and systems architecture; Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Developing Enterprise Data Models; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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Seven (7) or more years of hands-on professional experience using tools such as Informatica PowerCenter or Informatica Data Quality to export, transform and load data from source databases (e.g., Oracle) and flat files into the Informatica MDM landing tables.
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Seasoned software engineer with extensive experience in Java and a solid understanding of Python, aspiring to a position that merges hands-on coding with aspects of technical leadership.
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The Sr. Data Engineer is responsible in understanding and supporting the businesses through the design, development, and execution of Extract, Transform, and Load (ELT/ETL), data integration, and data analytics processes across the enterprise.
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Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools. The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities.
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Strong programming/design "hands-on" experience with Building Automation System (Johnson Controls, Siemens, Honeywell, Rockwell, or other) and SCADA systems is required. Provides technical expertise for all phases associated with the automation system, provides improvements based on supporting data, technical knowledge, engineering principles and current industry practices.
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hands on big data engineer jobs Title: senior data engineer Company: Self Esteem Brands Llc in Lahaina, Hawaii
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