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O Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
$156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and develop high availability and low latency production ready software using web, cloud and distributed technologies including Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, Microservices, and CI/CD cloud deployment.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Spearhead the architectural design and optimization of robust, scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks. Guide senior data engineers and technical team leads, fostering best practices in SQL, Python, and cloud technologies, while establishing a culture of excellence and continuous advancement.
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem.
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS, GCP), languages/technologies (e.g., Python, Spark, SQL, DBT), Orchestration (ADF, Airflow, Dagster) and tools (e.g., Power BI), with an ability to build IP into reusable software.
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Experience with data engineering using SQL queries, Spark, and/or python and to extract and transform large volumes of data into a format suitable for analysis.
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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You will design, develop and automate secure, robust, and high-performing data platform solutions to drive CAIS business growth using Python, Kotlin, Snowflake, DBT and Kubernetes. Extensive experience with DBT and Snowflake for data warehousing, demonstrated through the creation and management of complex SQL/ETL/ELT data workflows.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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I worked extensively on POCs, Consulting Solutions, ETL Framework/ Clienthitecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Proficiency in data modeling, data pipeline development, and data transformation using tools like SQL, Python, Spark, and Databricks. Kforce is working with a well-known CPG client in search of a Technical Data Engineering Lead to join their team.
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Proficient in handling backend database work, well-versed in Python or Java, with the expertise to process and load data seamlessly into databases. Experience with market data vendors - Bloomberg, Markit, ICE/Client, S&P, Moodys, Fitch, Russell, Intex, JPM, Factset, State Street, CRD, and Yieldbook.
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