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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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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.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Solid understanding of database technologies, including SQL and NoSQL databases (e.g., MySQL, MongoDB, PostgreSQL). Hands-on experience with frontend development using HTML, CSS, JavaScript, and modern frontend frameworks/libraries (e.g., React, Angular, Vue.js.
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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.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Must have good technical understanding and knowhow on ETL tools like Informatica, DataStage, ISIS or Talend. Must have extensive experience in ETL development, Data Ingestion and Data Integration using API/microservices based approach.
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Database and data processing pipeline experience (we work with MySQL, MongoDB, DynamoDB, S3, RabbitMQ and Snowflake, and tools like Hightouch, Airflow, and Tableau) We are looking for an engineer with prior advertising/sales/marketing software experience (Hubspot/Salesforce) to help integrate those tools with our core applications (Java/Python) and datastores (Snowflake/MongoDb.
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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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Hands-on experience extracting (ETL using CDC, Transaction Logs, Incremental) and processing large data sets for Streaming and Batch data loads. In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Have 7-10+ years hands-on experience working across the data ecosystem, from modern ETL/ELT and orchestration to data warehouses and columnar stores, from BI tooling for less-technical business users to SQL optimization.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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Experience with Master Data Management platforms and tools such as Informatica MDM, C360, Reltio, Profisee, Semarchy. The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.
$116,200 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools; Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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Develop ETL workflows/data pipelines to ingest data using AWS Data Migration Service (DMS), Scala, Kafka, Restful APIs, and other technologies as determined by the client from multiple transactional systems to the target (including ODS, data marts, and data lake) according to documented logic and source-to-target mappings.
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