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Preferred Qualifications Hands-on experience in the application of Lean/Six Sigma methods and way of thinking. Lead data integrity efforts for equipment pertaining to assigned customer by ensuring data in install base is updated and accurate.
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Must have strong hands-on experience on data processing tasks using Spark/Python for cleansing and curating to populate analytical models. · Must have hands on experience building data ingestion pipelines from Oracle Recruitment Cloud to a Big Data Environment cloud or on-prem.
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Hands-on expertise with GCP product offerings. Proven experience as a Data Engineer with a focus on big data. Job Description: Data Engineer. Design, build, and maintain scalable and efficient data pipelines.
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Hands-on experience with Power BI, Tableau, and/or Apptio BI. Master your craft with leading training programs and hands-on experience. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients.
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SynergisticIT continues to work with hundreds of satisfied American clients with our software programmers working on our projects and after gaining hands on experience on cutting edge technologies moving to contribute their skills to great clients like Apple, Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more.
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Hands-on experience with big data technologies like Spark, Kafka, or similar tools for managing large datasets and distributed processing (preferably Databricks/Confluent) Design and implement dimensional models, including fact and dimension tables, utilizing star and snowflake schemas to optimize data retrieval and reporting in data warehouses.
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm. Hands on experience with major components like Hive, Spark, and MapReduce. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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Hands-on expertise with application design and software development of data applications. Hands on experience in GCP BigQuery, Orchestration using Composer and Airflow etc. Hands on experience with Java & Python programming languages.
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Proficient in Google Cloud Platform and should have deep understanding of its managed offerings, GCP Data Engineer certification is a big plus. Job Title: GCP Data Engineer. Experience with CICD pipelines, Automated test frameworks, DevOps and source code management tools (XLR, Jenkins, Git, Github Actions, Sonar, Maven, Jira, Confluence, Splunk etc.
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A minimum of seven years of hands-on experience or equivalent with inferential statistics, A/B testing, machine learning, predictive modeling and statistical analysis techniques in a healthcare or similar environment.
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At least 4 years of hands-on data science with machine learning. 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL. Infosys is seeking a Data Scientist with Machine Learning (ML), AI and Python experience.
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Required Skills Big Data Engineer with 3-4 years of hands-on Spark/Scala and Hive experience. This person should have hands-on coding skills with Spark and Scala and also have experience with Big Data querying tools such as Hive.
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A minimum of 3 years of hands-on experience with Apache Spark for large-scale data processing, including building data visualizations using PySpark and Jupyter Notebooks. Create, maintain, and enhance data ingestion processes using Apache Spark to ensure data quality, integrity, and consistency.
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2+ years of work experience in a highly technical and hands-on data engineering, or data science role. Designing and implementing performant data ingestion pipelines from multiple sources using Databricks on Azure.
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hands job Title: data in Tempe, AZ
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.