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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Streaming ETL: Apache Beam, Kafka. ETL development experience with strong SQL background.
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6+ years of full-time experience with ETL / MDM tools and processes. x versions with development skills in ETL with IICS/IDQ. Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
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As an ETL/ELT Pipeline Engineer, you will be responsible for designing and building efficient data integration pipelines using GCP native tools or open-source technologies such as Python and PySpark.
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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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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. 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.
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The Enterprise Data team at client requires an ETL data engineer to support data operations for its Cloud Data Exchange. The ETL data engineer will support the client Enterprise Data team for data curation, processing, and transformation tasks.
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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.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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.
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Sound knowledge of data flows, data architecture, data engineering /ETL and processing data. Data engineering / ETL pipeline testing and Automation. Develop and maintain automation frameworks and solutions for ETL and data architecture.
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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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Expertise working with ETL tools such as SSIS, Azure Data Factory, or dbt. Eight or more years of data engineering experience with strong T-SQL development, including definition of ER models and star schemas for transactional and data warehouse environments, ETL processing for both full and incremental loads, stored procedure coding, data migrations, and performance optimization.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Software Engineer. Senior Software Engineer ( Backend, Full-Stack) As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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The Senior Staff Data Engineer will be proficient with data platform architecture, design, data curation, multi-dimensional models, strong understanding of data architecture, principles of ETL and Data Warehousing.
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Craft robust ETL and ELT pipelines using tools like dbt, Fivetran, Airbyte, Matillion and/or custom Python. Associate Cloud Data Engineer - Remote. Dive into a culture that values innovation, learning, and impactful work-all from the comfort of your home.
RemoteExpandApply NowActive JobUpdated 5 days ago
etl job Title: learning engineer Company: Advantis Global
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