Spark driver walmart jobs in Yucaipa, CA

Role. Spark Developer with ScalaLocation. SFO CA (100. Onsite from Day 1. No flexibility) Try to submit.. Hands on developer, who has strong understanding on Apache Spark and is good in preferably Scala (if..

Cupertino, CA. Hybrid Role Requirements and Qualifications. Strong experience with SQL and SQL Querying in large hybrid cloud and data infrastructure environments. Apache Spark experience is..

Design and implement scalable data pipelines using Databricks and Spark. Develop and maintain data.. Proven experience as a Data Engineer or in a similar role. Proficiency in Databricks, Spark, Scala..

Implement large scale high throughput solutions using on premise and cloud technologies such as Kafka, Spark on Hadoop Hive S3, AWS Lambda, Terraform, Kubernetes, etc. Participate in novel..

P. p 5. Strong experience with big data tools(Databricks , Spark etc.) and programming skills in PySpark and Spark SQL. p. p 6. Be an independent self learner with ?let?s get this done? approach..

Use Spark on AWS for data transformation and processing across large datasets. Develop and maintain efficient data workflows with SQS for task queueing and orchestration. Integrate, transform..

G., S3, Apache Spark, BigQuery, Hadoop) Experience interpreting biological statistics and translating them to clear relationships of clinical outcomes for clinical and business stakeholders Self..

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We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment..

Strong programming, shell scripting, Python, Spark, and SQL. experience with map reduce jobs to support.. Experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark Streaming..

SKILLS AND EXPERIENCE 5. years of experience with a degree in a related field. Strong understanding of Python and SQL Experience with data technologies ( Kafka, Spark, Hive Iceberg, or Postgres..

Strongexperience working in Real Time analytics like Spark Kafka Storm Experiencewith Jenkins, JIRA Expertisein Unix Linux environment in writing scripts and schedule execute jobs.A reasonable..

years of relevant professional experience as a Data Engineer, Data Scientist, or ML Engineer. Proficient in building robust data pipelines using Python and Spark. Experience with data..

Backend. DevOps) Build and operate event based systems (e.g. Kafka). (Backend) Build and operate batch processing systems (e.g. Spark). (Backend) Dramatically improve engineering productivity..

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Expertise in data analysis feature engineering and predictive modeling. Proficiency in Python and or R for data science tasks. Experience with big data tools such as Spark Hadoop or Dask for..

Experience with AWS cloud services and infrastructure. Hands on experience with data processing tools and frameworks like Kafka, Ray, K8S, PyTorch, Spark, Flink, and Airflow. Proficiency in..