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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Knowledge and hands-on experience on EC2, S3, RDS, ELB, Squid proxy solution, Lambda, Terraform, Python, Athena, Cloudfront, Docker, Kubernetes. have good understanding and hands-on experience in Python, terraform, lambda deployment.
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Proficiency in SQL, Python, and other relevant languages, with hands-on experience in creating pipelines, data flows, and complex data transformations using Azure Data Factory and PySpark with Databricks.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on experience with design and development in any of these languages: Java, Kotlin, JavaScript/TypeScript, Python, Ruby, Perl, PHP and desire to learn other languages. Hands-on experience with RDS or Document-store databases like MySQL, PostgreSQL, BigQuery, Redshift, Snowflake or other.
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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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Snowflake or Databricks certifications and/or hands-on-keyboard experience. Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-on experience and expertise in Advanced SQL, Advanced Python programming, AWS Services ( such as S3, Redshift, Glue ETL, IAM, DMS, Appflow,VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools.
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High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Hands-on experience working within the Databricks unified data analytics platform with specific experience using Python to process, explore, and analyze data. We are in search of talented individual who is interested in a career as a Python Data Engineer in HSAG's Data Science & Advanced Analytics division.
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You have some hands-on experience with data visualization and data manipulation using tools such as cphython, azure, SQL, Python, Tableau, Power BI. You have hands-on knowledge and experience in testing some or all of the following Oracle EBS, Oracle Fusion, Oracle Warehouse Management System, Hyperion and FCCS, data warehouses, ETL processes, OIC and integration and logging tools.
$100,700 - $167,900 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Perform hands-on modeling and complex analyses using Python, SQL and/or R. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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3+ years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services. 5+ years of hands-on work in the field of software development.
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Hands-on experience with front-end technologies including HTML, CSS, JavaScript, with familiarity in React. In-depth understanding and hands-on experience with Identity and Access Management (IAM) concepts.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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In-depth knowledge Data processing techniques and handling large data sets � Hands on experience using Azure Blob storage and Azure Data Lake Services for storing data � Hands on experience using Databricks in at least 2 projects, creating notebooks using Scala/Python.
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