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Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies. The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Should have in depth knowledge on different ETL & BI tools like Snowflake, Databricks, PySpark, Azure Cloud, ADF, Azure Synapse Analytics & Azure Hub Events. Should have in depth knowledge on different ETL & BI tools like Snowflake, Databricks, PySpark, Azure Cloud, ADF, Azure Synapse Analytics & Azure Hub Events.
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Exposure and hands on exposure to ETL using Snowflake SQL and Talend. Familiarity with data modeling and ETL tools such as Erwin, Talend, DataStage. Experience of using one/more scalable (MPP) relational databases such as Teradata, Netezza, Redshift, Snowflake and SQL data warehouse for advanced analytics.
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Experience with enterprise databases and ETL tools (e.g., Databricks) The Maternal, Newborn, Child, and Adolescent Health (MNCAH) portfolio of the Health and HIV Unit, Data and Analytics Section of UNICEF New York Headquarters maintains and updates a global MNCAH database which is a key source for country- and regional-level MNCAH data.
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5+ years of experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL. Utilizes advanced SQL within Google BigQuery, Informatica ETLs or Oracle SQL Views when necessary to achieve proper metric calculations or derive dimension attributes.
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Extensive experience in utilizing Power Query for data extraction, transformation, and loading (ETL) processes, enhancing data integration and preprocessing for Power BI reporting. Experience with ETL tools and processes, understanding of data extraction, transformation, and loading techniques for integrating data from disparate sources into a centralized repository.
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The ideal candidate will possess extensive knowledge and hands-on experience in Terraform, Docker/Kubernetes, microservices architecture, and data migration, specifically from Oracle to PostgreSQL using ETL tools.
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Design Data Lake and load the data to Data Lake using ETL and PYSPARK-Work with AWS- EC2, VPC, EBS, Athena, Aurora, RDS, DMS, EMR, S3, Redshift. Migrate SPOTFIRE reports to Power BI. Have experience with Power BI. TECHNICAL SKILLS -ETL Stack: Informatica CAI, B2B Data Exchange, IDQ/BDQ, Power Center, MDM, BDM/DEI, SAP BODS, MS- SSIS, AWS Glue, AWS DataBrew.
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Design, develop, and implement data integration solutions using Sales/Marketing, ERP APIs, and Databricks ETL/ELT tools. · Minimum 3-5 years of relevant experience in composable integration, ETL/ELT development, and data warehousing.
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Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend. A Data Engineer also interfaces with other technology teams to extract, transform, and load [ETL] data from a wide variety of data sources.
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Ability to manage and diagnose Data & ETL - Dagster, Airflow, other ETL technologies. Provision, configure, and manage cloud database instances on various platforms, including Snowflake, Redshift, AWS (RDS, Aurora), GCP (Cloud SQL), and Azure (SQL Database, Cosmos DB.
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Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.) 8+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud.
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1-5 for mid) 3 to 5 years of ETL development experience with any leading platforms (Informatica/SnapLogic/Dell Boomi/Talend/Sterling Integrator) 1-5 for mid) 3 to 5 years of ETL development experience with any leading platforms (Informatica/SnapLogic/Dell Boomi/Talend/Sterling Integrator.
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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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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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etl job in New York, NY
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