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Competitive product experience a plus (Microsoft, Snowflake, AWS, and Oracle) Experience with IBM Data Science and Governance solutions (DataStage, InfoSphere, Data Replication, Watson Knowledge Catalog, MDM, Cloud Pak for Data, etc.
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AWS/Azure Datalakes, Snowflake etc. 5+ years of Cloud experience including AWS, Azure. Experience building highly scalable, low latency data pipelines using modern technologies like Apache Airflow (or similar technologies) is a plus.
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Snowflake, Informatica, Matillion, BI technologies (PowerBI, Tableau, Qlik, MicroStrategy), SQL, Python, MDM (Reltio Informatica) and Data Governance (Collibra, Informatica)Familiarity with Analytical Workbenches such as R/Python, Alteryx, Dataiku, KNIME, AWS Sagemaker etc.
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Previous exposure to Cloud technologies (AWS, Azure, Snowflake, etc. Web development experience with JavaScript platforms like React JS or Angular. Previous exposure to Cloud technologies (AWS, Azure, Snowflake, etc.
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Experience with relational databases such as MySQL or Postgres and understanding of columnar data stores such as Redshift or Snowflake. Experience in working in a cloud environment such as AWS, GCP or Azure.
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You will work with technologies that include Python, AWS and Snowflake. Job Title: Sr Staff Engineer, Data Engineering. You will work with technologies that include Python, AWS and Snowflake.
$200,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud platforms such as Azure, AWS Understanding of SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB) and data warehousing solutions (Synapse, Amazon Redshift, Snowflake.
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Experience with enterprise cloud economicsUnderstanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)Hands-on expertise with SQL and SQL analyticsIndustry benchmarking experience in major industries such as: Financial Services, Retail, Travel and HealthMust Have Skills: DBT, Snowflake, SQL, PythonNice to Have Skills: Airflow, AWS Data analytics services, Scala, PySpark, Great Expectations.
$99,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Gain hands-on experience with Cloud Technologies: Experience working with cloud platforms like Heroku, AWS, Snowflake and Google Cloud Platform. The company is backed by leading technology, impact, and agriculture investors such as Spark Capital, Cultivian Sandbox, Telus Ventures, and RaboBank.
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Data Architecture Leadership: Lead the design, implementation and operation of robust data architecture, ETL/ELT pipelines, and data warehousing strategies using Airflow and AWS cloud services.
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Working experience across a breadth of our infrastructure, languages and stacks (Python, Node, Gitlab, AWS, Docker, Postgres, Redis, Datadog, Amplitude, and Snowflake) Other tools and packages we use include Material-UI, used to maintain our own component library, Figma for mockups, Gitlab, AWS, Postgres, Redis, Datadog, Amplitude, and Snowflake.
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Have hands-on experience working with either Redshift, Snowflake, BigQuery, Databricks, Azure Synapse or Athena and understand the inner workings of these cloud storage systems. Want to learn to leverage public cloud services & cutting-edge big data technologies, like Spark, Airflow, Hadoop, Snowflake, and Redshift.
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Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Experience with cloud based data services offered by Azure, AWS and Google. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery.
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Demonstrated experience with AWS services (e.g., EC2, RDS, S3, Lambda, Glue, Redshift, Athena, EMR) and data pipeline tools (e.g., Apache Airflow, Luigi, etc). Minimum of 7 years of experience in data engineering, with expertise in developing and managing automated data pipelines, AWS cloud infrastructure, databases, and workflow engines.
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SAP BODS, Snowflake, AWS and Airflow. SAP BODS Consultant with Snowflake. SAP BODS, Snowflake, AWS and Airflow. SAP BODS Consultant with Snowflake. Work closely with business and IT manager to understand the requirement on daily basis.
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