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Must have: Ab Initio Apache Spark AWS DevOps, CI/CD NoSQL OCP, Kubernetes PySpark Python Programming Snowflake Data Warehouse SQL Teradata Unix, PL/SQl, Oracle, Rest API, Java, Linux, Shell Scripting.
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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.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Tech stack: BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc.
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We are seeking a Senior Data Architect with extensive experience in Databricks, Spark, Python, and ETL technologies to join our dynamic team. Databricks Certified Certification in Advanced Data Engineering is a plus.
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Implement and manage continuous integration and continuous testing practices, emphasizing ETL job automation, SQL query validation, and Snowflake target validation for ongoing data quality and reliability.
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Work on On-Prem Datawarehouse migration to Azure Synapse using ADF.Design and develop ETL processes in AWS Glue to migrate Campaign data from external sources like S3, ORC/Parquet/Text Files into AWS Redshift.
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Prior experience working with ERP (Oracle or/and Infor M3), MES, LIMS systems implementation in Manufacturing environment preferably in Pharmaceutical and data, web, ETL, and application development.
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SQL: 1+ Years (Preferred) Data Warehousing (Snowflake, Databricks, Redshift, BigQuery, Clickhouse, etc). Associate Cloud Data Engineer - Remote. Data Clymer has been a fully remote company since day one, so we will never ask you to commute to work.
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Experience in using an Enterprise Scheduler (Tidal) •Experience in an Agile Development environment # On-point communication skills to concisley report status of work/issues and next action, and articulate technical complexity to Businss analysts, Project manager and Business usersKeywords: Education: Bachelors degree in Computer Science or Finance Skills and Experience: Required Skills: DATABASE DATA MODELING ETL DATABASE MODELING DATA WAREHOUSE.
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Experience in data modeling, ETL/ELT workloads, and enterprise data architecture on platforms like Azure Databricks. Utilize Databricks best practices to architect and develop scalable data architecture patterns, ETL frameworks, and governance policies.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The ETL Developer will be focusing on maintaining and enhancing data ingestion pipelines as well as migrating of an existing ETL tool to Informatica PowerCenter and leverage cloud technologies like Snowflake.
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Work closely with data engineers and other team members to design and implement ETL processes for data integration from various sources such as Teradata, Oracle, SQL Server, Ab Initio, and SSIS.
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Extensive hands on experience with development of ETL (CDC, SCD) and data integration process using Azure Data Factory, Databricks, Python and Spark. Develop ETL and data integration processes, using a variety of technologies, including Azure Data Factory, Databricks, SQL, Python and Java.
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Strong background in data modeling, ETL/ELT workloads, and enterprise data architecture on platforms like Azure Databricks. Architect, develop, and document scalable data architecture patterns, ETL frameworks, and governance policies, adhering to Databricks' best practices to support future and unknown use cases with minimal rework.
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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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