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Experience with the tools we use, like AWS (including Glue and Lambda), Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we don’t use, but should, and the wisdom to know when to recommend them.
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Familiarity with leading data tools like Snowflake, Tableau, dbt, Fivetran. -A strong communicator, who can translate abstract questions into concrete data and vice versa. -Designing and building core data ecosystem and platform components - warehouse(s), pipelines, base models, etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are seeking a Senior Data Engineer to join a growing data platform team within the data & analytics department. Working knowledge of a modern orchestration platform such as DBT, Airflow, etc.
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Data orchestration tools such as Airflow or dbt. We are looking for a Senior Machine Learning Operations Engineer who is passionate about all things data. distributed data technologies for building efficient & large-scale data pipelines like Hadoop, MapReduce, Spark, Flink, Kafka.
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Our Enterprise Data & Analytics (EDA) is looking for an experienced Platform Data Engineer to join our growing data and analytics engineering team. Platform Data Engineer.
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Highly proficient in SQL, with a focus on data warehousing best practices, ideally using dbt as a data modeling platform. You will get to work in a best-in-class tech stack that includes Airflow, Snowflake, dbt, and Looker.
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Develop analytics models using SQL and dbt on the Snowflake data platform. Experience with dbt, Dagster, Snowflake data platform. Implement data pipeline integrations and solutions, incorporating highly scalable cloud computing and large scale data stores including data lakes, data warehouses, and data marts.
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Requires experience with the GCP Platform and GCP tools (Big Query, DBT, Astronomer and Tekton) Requires 5 years of experience with data warehousing, Teradata and Datastage. Drive the data strategy and align it with continuously changing business landscapes utilizing his background in data design, data architecture, and data modeling (both transactional and analytical.
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Requires 5 years of experience creating data products using HDFS and Hive within Hadoop to analyze and secure data; or building data pipelines, developing data products to support critical business initiatives, and overseeing data landing requests.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. The ideal candidate is an experienced Data Engineer with background in ETL or ELT processing with SQL/NoSQL databases, a background in transforming existing tech to new open source technologies (ideally Postgres) as well as a strong development background in Spark, Scala, Java and/or Python.
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The Senior Data Engineer works closely with Director of Data Engineering guiding best practices for data modeling, data warehousing and data ingestion. Senior Data Engineer.
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Experience with data pipeline orchestration tools (Airflow, Prefect, Mage, DBT, etc.) Experience interfacing with financial data providers (Refinitiv, Burgiss, MSCI, etc.) Behind that a collection of Aurora-backed Python and Java REST API services are hosted as containerized applications in AWS. We make use of AWS Lambda for asynchronous tasks and we rely on Snowflake for data ingestion and warehousing.
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Essential Experience & Job Requirements 5+ years of IT experience with major focus on data warehouse/database related projects Must have exposure to technologies such as dbt, Apache Airflow, Snowflake.
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Autonomously perform Quality Assurance and resolve data quality issues. Requires a master’s degree in computer engineering, computer science, information technology, business analytics or a related field and 5 years of experience in the position offered or 5 years acquiring data from disparate sources, cleansing and transforming data, developing and implementing data analyses, and summarizing business insights.
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What you’ll bring to Circle:For Senior Data Engineer (III)4+ years of professional data engineering experience. For Staff Data Engineer (IV)All the requirements of above and:7+ years of professional data engineering experience.
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