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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Proven capability in data engineering or data science, with practical experience using AWS SageMaker and other industry-standard data analytics tools. Smoothstack is recruiting for a Senior Software Engineer with a strong focus in Data Science and significant hands-on experience in Cloud Native development to drive the creation of next-generation, data-driven applications.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Data Integration, AWS Cloud services (Lambda, Glue, Redshift, Athena) Expertise in AWS Cloud services (Lambda, Glue, Redshift, Athena) AWS Cloud services (Lambda, Glue, Redshift, Athena.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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12+ years of experience in IT infrastructure, with at least 3-4 years in cloud architecture and hands-on provisioning of modern Data platforms like Databricks on AWS cloud.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena, Demonstrated on-the-job experience with large-scale data migration from Oracle on prem to AWS Cloud environment.
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1- 3-years minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
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Data Visualization Tools: Tableau, Power BI or Qlikview. Expertise in handling financial data, databases, and data integration Oracle SQL, PL/SQL. Knowledge of SQL, data warehousing, and data visualization tools (such as Tableau.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark). Experience working with Python, SQL, data warehouse systems, data lake systems, and data pipelines in a cloud environment.
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Experience with cloud services: AWS, Azure , GCP, etc. Experience with cloud services: AWS, Azure, GCP, etc. Experience with modern data tools: Snowflake, BigQuery, dbt, Airflow, dagster, Fivetran etc.
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Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata 1 Year experience of deploying google cloud services using Terraform.
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big data science aws cloud jobs Company: Mission Technologies A Division Of Hii
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