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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Certification: Google Professional Data Engineer. Knowledge or experience in designing and deploying data processing systems with technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik, or others.
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Job profile : Data Engineer experience on Spark with Scala / Azure Databricks. Hands on experience of building data pipelines using Apache Spark (Azure Databricks), Scala. Hands on experience in designing and delivering solutions using the Azure Data Analytics platform including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake.
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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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Senior Data Engineer. Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
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Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
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Snowflake + Databricks + Azure Data Factory with Python+ Java. Good hands-on experience on Snowflake Data Warehouse. Design, develop & maintain data platform services for varied use cases such as Data Extraction, Data Processing, Data Ingestion, Data Observability and Data Discovery.
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As a Data Engineer at Micron Technology Inc., you will be a key member of a multi-functional team responsible for developing and growing Micron’s methods and systems for extracting new insight for our expanding data streams.
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Nice to have] Experience working both real-time systems like Airflow Kafka, DBT, and batch data pipelines in Redshift, Presto, and Data Lakes. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlan, and Retool to orchestrate data pipelines and define workflows.
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As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
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As a Data Engineer , you will play a key role in designing, implementing and optimizing the data infrastructure to support the organization's analytical and reporting needs. We are seeking an experienced and talented Data Engineer to join this growing team.
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Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group. Software Resources has an immediate job opportunity for a Pipeline Engineer with a major corporation in New York, NY.
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The “Winning with Data” (WWD) capability in AbbVie’s International Commercial Business is driving the transformation of the organization into a data and insights driven decision-making organization and is seeking a talented Data Engineer to join our data engineering team.
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As a Data Engineer, you'll be working with the latest cloud and technology stacks to help clients implement and mature their modern data architecture. At least 4 years of experience as a hands-on software or data engineer.
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As a Lead Data Engineer, you will play a pivotal role in bridging the gap between our system infrastructure and data strategy. Managing and transforming structured and semi-structured data across multiple data platforms including SQL Server, AWS S3, Databricks Delta Tables, and Snowflake.
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Title: data engineer Company: Simple Solutions
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