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Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
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Has experience utilizing data warehouse technologies, Middleware technologies, MDM, big data tools including Hadoop and Spark eco system, including tools like Python/Scala. Required to work in other areas of Data Enablement lifecycle, including batch and real time processes using SQL Server, SSIS ETL/ETL, MuleSoft as needed.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense. Familiarity with additional transformation platforms like Apache Spark and Beam.
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A deep understanding of Spark internals / Databricks / ETL systems is a plus. Curinos is looking for a Lead Engineer for a cross-functional Product Development team of Software, Data and QA engineers covering all aspects of product development (UI/Middle Tier/API/Backend/ETL.
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Knowledge of big data platforms such as Apache Spark, Hadoop, Apache Fink or AWS engineering. Strong understanding of data lake architecture, data modeling, ETL processes, data governance, and data analytics in a banking environment.
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ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. When in the office you have a fully catered canteen with a Michelin standard chef, barista coffee, a gym and more.
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Hands on experience on building data engineering pipelines on Spark/ Data bricks (Azure) Hands on experience with stream data ingestion /processing with Spark Hands on experience on other Azure native data technology stack Azure Data factory, Synapse, Snowflake Exposure to providing ETL solutions for Azure native stack and in Spark.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Our analytics stack comprises of:Python, Spark, and Singer for ETL pipelines. Experience using Python, or other language equivalents, and its related data packages (Pandas, Numpy, SQLalchemy), and experience using Spark-based platforms like Databricks is a plus.
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Experience working with Apache Spark, Apache Airflow. 5+ Experience architecting and building ETL pipelines; Hands-on experience with SQL. Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Docker, etc.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Senior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 1+ years of experience with AWS, GCP, Azure, or another cloud service.
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Open to proficiency in a variety of technologies: for example: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, and the like. Experience with architecting data warehouse and plans for data ETL transformation (extract, transform and load) processes and the supporting technologies such as Amazon Glue, EMR, Azure Data Factory, Data Lake and other analytics products.
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Experience with technologies such as Spark, Airflow, Kafka, MySQL, Cassandra, Delta Lake, and Data Bricks. You have experience working with one or more of Spark, Airflow, Kafka, MySQL, Cassandra, Delta Lake, and Data Bricks.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
ExpandApply NowActive JobUpdated 6 days ago
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