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Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools. Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration.
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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Position Responsibilities: Work closely with Enterprise Data Services, Enterprise Architecture, DevOps, and Business Intelligence partners for supporting various initiatives in SAS applicationConfigure, install, test, and maintain application software (deploying SAS Platform for data sources like Snowflake, Postgres, Oracle, SQL Server, etc.
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Expertise in database management systems (DBMS) such as SQL Server, Oracle, MySQL, PostgreSQL, NoSQL databases, and cloud-based solutions like Snowflake and Azure SQL Database. Snowflake and DBT experience preferred.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Design and implement scalable and reliable data pipelines within AWS cloud environments, leveraging technologies such as Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, DataStage, or Informatica.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
$165,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. Experience with AWS, Snowflake, Databricks/Apache Spark, Redshift, technologies.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in Snowflake – data modeling, ELT/ETL using Snowflake SQL, Stored Procs, Snowflake Administration and knowledge in Big Data areas like Hadoop and Talend (optional.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Lead migration of legacy reports from SQL Server sourced data to Snowflake. The ideal candidate will have demonstrated proficiency of healthcare data sets, including medical claims, HCC, HEDIS, and be detailed oriented.
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4+ years of experience with Data Modeling, SQL, ETL, Data Warehousing, (Snowflake, Redshift, Azure, AWS) Passionate about working with large unstructured datasets and helping set the vision for the overall data strategy across the growing portfolio.
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Experience with Python, Snowflake SQL, Unix/Linux, Databricks and Github. Experience with Amazon Web Services products, such as EC2, S3, Redshift, and Snowflake. 1+ years of experience working with and demonstrating knowledge of data governance, data quality.
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Apply technical skills to help organize data from large databases (e.g., Oracle, Amazon Redshift, Snowflake) and develop queries to meet various business analysis or strategic data requirements.
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snowflake data jobs in Chicago, IL
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