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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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ETL Tools: Azure Data Factory (ADF), Azure Database migration service (DMS), ETL SQL server integration services (SSIS), SQL server reporting services (SSRS), ETL extract transformation and load, Business Intelligence (BI), BCP.
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Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. Information Delivery Qlik Sense, MicroStrategy. Cloud Lake and Warehouse Snowflake, S3 Data Lake, other comparable technologies.
$118,800 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. Designing, building and maintaining data ETL/ELT pipelines to source and aggregate the required data for various data analyses and reporting needs.
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Experience: 5 years of technical experience performing ETL development; developing and scheduling batch jobs; developing UNIX Shell Scripts for data validation and reconciliation; designing relational and dimensional databases; performing data integration in AWS using Python and HIVE; developing Python data integration and validation scripts; and performing real-time data integration using messaging queue(MQ.
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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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1+ year with ETL, PySpark, SnowFlake, and data engineering. Develop application functionalities that have direct impact to the application user experience, while working on the data pipeline ETL to strengthen data analytics for improvement identification.
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Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.) 8-12 years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud.
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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. 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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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 7 days ago - UpvoteDownvoteShare Job
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As a Software Engineer on this team, you must be skilled and self-motivated to develop cutting-edge geospatial analysis, ETL (Extract, Transform, Load), and visualization microservices to support mission-focused systems.
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Role : Senior data Engineer/ETL Developer. Snowflake, DBT, ETL Informatica, SQL, PREFERRED QUALIFICATIONS:? Experience with ETL Tools (Informatica, DataStage, Data Build Tool, etc.
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Supporting the migration of Hadoop cluster which includes migration of feeds, ETL processes (Ab-Initio), scripts, Autosys, and machine learning models/code. You will be involved in holistic surveillance build out which will require excellent understanding and hands-on experience in big data (Hadoop - Cloudera stack) technologies like hive, spark, Kafka, Angular JS to architect, develop and support sophisticated analytics pipeline using Machine Learning algorithms.
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Hands-on experience and expertise in Advanced SQL, Advanced Python programming, AWS Services ( such as S3, Redshift, Glue ETL, IAM, DMS, Appflow,VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools.
ExpandApply NowActive JobUpdated 7 days ago
etl job Title: machine learning engineer Company: Advantis Global
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