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Including hands on experience with productionized data ingestion and processing pipelines using Python, Data bricks, Snow SQLExcellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologiesExcellent presentation and communication skills, both written and verbal, ability to problem solve and design in an environment with unclear requirements.
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You will have a technical and business understanding and thought leadership on approaches to industry leading deployments of Data Lakes, Data Warehouses, Data Marts, and the progression of data from raw/bronze to curated/gold environments with an interest in all tools/technologies including Python, Matillion, Snowflake, Databricks and Azure.
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Use programming languages like Java, Scala, Python and Open-Source RDBMS and NoSQL databases and Cloud based data store services such as MongoDB, DynamoDB, Elasticache , and Snowflake. 2+ years of data warehousing experience (Redshift , Snowflake , Databricks, etc.
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse.
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Primary focus on Java application development and enhancements using Java, Python, SQL, Snowflake DB, Databricks spark/Notebook, Azure Blob storage. Familiarity with Databricks and/or Snowflake is a plus.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.
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Related experience in Snowflake administrationDatabase administration and data engineeringExperience using AWS servicesExtensive hands-on experience with Python,SQL and DBTSnowflake Pro certificationDeep knowledge of all Snowflake features, with a particular emphasis on advanced security measures (Data Masking, TriSecret Secure), data sharing, and application development.
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The ideal candidate will have extensive experience with AWS Glue, Spark, Python, and Snowflake, with a strong background in data engineering, ETL processes, and data warehousing. TITLE: Data Engineer - AWS Glue, Spark, Python, Snowflake.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL. 2+ years of experience with Presto or Snowflake. Utilize programming languages like Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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End to end implementation experience in building analytical solutions using data visualization tools like TIBCO Spotfire, Power BI, Python, R etc. Collaborate with local business users to understand business processes, gather technical requirements, evaluate proof of concepts, design, develop and support analytical solutions using TIBCO Spotfire, Power BI, SQL, Python, R, JS,HTML etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Essential Skills: Snowflake, DBT, Informatica, SQL, Python. experience with cloud-based data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure)? Snowflake, DBT, ETL Informatica, SQL, PREFERRED QUALIFICATIONS.
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Our current data stack includes the following tools/systems: PostgreSQL, Snowflake data warehouse, Stitch, Fivetran, dbt, Looker, Segment. Proficiency in programming languages relevant for data engineering (Python, SQL and big data technologies, e.g. Spark.
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Experience writing ETL routines for Snowflake in Python or Scala or with ETL tool. Experience in Data ingestion to Snowflake from CSV JSON Parquet Avro etc format. Experience in Snowflake Internal External Staging and Loading options.
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Must Have Skills: DBT, Snowflake, SQL, Python. Certifications for any of the cloud services like AWS, Snowflake, Google Cloud Platform or Azure. Experience in Data Migration to Snowflake cloud data warehouse.
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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.
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