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Works with Opeeka development team and is responsible for developing and evolving SQL server databases to support data collection and data mining necessary for Opeekas P-CIS analytics and reporting.
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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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Experience with SQL, Python, Data Warehousing, DBT, Airflow and Kafka. You have experience with Data Warehousing, Airflow, AWS, Kafka and dbt. At least 5+ years of data engineer and/or software development experience.
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Experience implementing solutions using at least one of the following technologies Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica.
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Requirements: Azure Data Factory, Azure Data Lake Storage, Python/ PySpark, SQL Database, Proficiency in written and spoken English Responsibilities: Develop and deploy data warehouse solution in Azure Cloud, Design and implement data ingestion to Azure Storage services, Creation of data transformations using Data Factory, Synapse Analytics, Databricks.
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10+ years in software development and 5+ years building ETL pipelines and data infrastructure (e.g. Redshift, Snowflake, BigQuery, Databricks) You have extensive experience building solutions on AWS (Redshift, RDS, S3, Glue, Data Pipeline, QuickSight, Lambda, Cloudwatch, etc.
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Data visualization skills using business intelligence solutions including at least one of Looker, Tableau, Periscope, Pentaho, or Microstrategy. Fluency in at least one modern language useful for data processing (e.g. Python, Scala.
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Experience with data lakes and related technologies such as Athena, BigQuery or Dremio. Develop new ways of visualising and interpreting the large-scale microscopy data generated by our Biology team to accelerate our ability to control stem cell fate during differentiation.
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In-depth knowledge of Spark, Kafka, Streaming Systems, AWS, and Cloud Data Warehouse like Trino/Snowflake and Docker/Kubernetes. Knowledge in Big Data, Amazon Web Services(AWS), and Apache Spark.
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Certifications in Azure Databricks, Apache Spark, or related data engineering technologies will be an added advantage. This role demands a strong technology leader with a deep understanding of data engineering technologies and practices, including hands-on experience with leading platforms like Databricks and Snowflake, and a solid grasp of the Azure Databricks platform for scalable data analytics solutions.
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Familiarity with big data platforms, such as Azure Databricks, Azure HDInsight, or Azure Stream Analytics. Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
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Data Warehouse Skills: Proficient in Cloud Data Warehouse systems such as Redshift, Snowflake, or BigQuery. Coding Enthusiast: Comfortable with Python, Kotlin, and GoLang, and eager to explore new data technologies.
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Databricks, Azure Synapse, Azure Data Factory, dbt, Apache Kafka, Apache Spark, Snowflake, Airflow. Vi ser økende oppdragsmengder innen data engineering og data platform, og nå ønsker vi oss flere kollegaer som kan fylle spennende roller innen disse fagområdene.
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Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, Economics, Data Mining, Analytics, Statistics, or other quantitative field; Master’s Degree preferred. Data visualization experience with platforms like (Juniper Notebooks, Tableau, Domo, Quicksight, Looker.
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Experience in big data technologies(Apache Hadoop/Spark/Hive/Presto) Build and deploy scalable data engineering solutions on the cloud for engineering, analytics & data-science consumers.
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data mining jobs Title: data analyst Company: Rose International in Snowflake, AZ
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