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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning.
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Hands-on experience with ETL/ELT tools (e.g., Informatica , DBT , Fivetran ) for data extraction, transformation, and loading. Required Skills & Qualifications : 5+ years of hands-on experience in data modeling , data architecture , and Snowflake development.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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Hands-on production experience with orchestration systems such as Airflow. Hands-on production environment experience with distributed processing systems such as Spark. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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4 years of hands on ETL experience with Informatica and/or Microsoft SSIS. We advise, design, implement, and deploy innovative and technology enabled solutions focused on "heart of the business" issues in specific sectors including Health Care & Life Sciences, Digital Banking & Payments, Investment & Wealth Management, Insurance, Telecom, Media and Energy & Resources.
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5 – 8 years of hands-on experience in MDM systems integration, data integration, data governance systems, with a proven track record of successful project implementations involving Reltio and Alation or Collibra.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. As a Senior Software Engineer, they will play a crucial role in developing and maintaining our software solutions, with a focus on efficiency, scalability, and innovation.
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AWS comparable tech OK)Extensive hands-on experience with Snowflake or similar cloud-based data warehousing platforms. Proven experience (5+ years) in data engineering, with a focus on data warehousing, ETL, and data modeling.
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Hands-on experience with orchestration technologies such as Airflow. Hybrid Work Schedule for in-person collaboration on Tuesdays, Wednesdays, and Thursdays beginning April 1, 2024.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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The ideal candidate has extensive, hands-on experience with Snowflake or similar cloud-based data warehousing solutions. In this role, you will work closely with the Tableau developer to enhance and provide data architecture enhancements based on Tableau dashboarding needs.
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Provide technical expertise and guidance on the selection, hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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hands on jobs Title: data in New York, NY
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