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6+ years of full-time experience with ETL / MDM tools and processes. Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
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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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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.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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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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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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.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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Implement ETL design patterns for data warehousing using Kimball methodology and master data management, with expertise in T-SQL scripting, query optimization and data governance. The ideal candidate should have extensive experience in Microsoft Fabric stack of technologies, including Azure Synapse Data Engineering and Azure Data Factory, along with hands-on experience in ETL/ELT and cloud migration.
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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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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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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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5+ years in Snowflake in AWS and Talend Data Integrator or other BI/ETL tools. Strong background and problem-solving skills with Enterprise Data warehouse, ETL/ELT development, Database Replication, metadata management and data quality.
ExpandApply NowActive JobUpdated 5 days ago
etl job Title: machine learning Company: Advantis Global
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