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Role: Scala Developer. Databricks Certified Associate Developer for Apache Spark 2.4. Cloudera - CCA Spark and Hadoop Developer (CCA175) or. Good to have cloudera certifications , CCA or CCP like CCA175, DE75 etc.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. EC2, and ECS with services written in Scala, Spark, and Python, and uses Snowflake as our Database.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Google Cloud Platform (BigQuery, PubSub, Dataflow, Vertex AI), Airflow, Terraform, Spark, Scala, Python, Looker, Dataiku, Kubernetes, SQL, Git. Vous disposez d’une solide expérience en développement Spark, Scala, Python et framework ML (Vertex, Tensorflow, Scikit, PyTorch.
ExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Arc, SAS, R, Java, C, MATLAB, ScaLa, or Python. Utilize programming languages such as SAS, R, Java, C, MATLAB, ScaLa, or Python to accelerate large data transactions across industry-leading GPU architectures to answer analytic questions.
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Design and build scalable data pipelines using Big Data stack Databricks, Spark Scala, AWS – Athena, S3, Glue ETL, Redshift, Dynamo DB. 5+ Years of IT experience in AWS Cloud, Databricks, AWS S3 , Spark/Scala ,Big Data tool and technologies.
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Functional programming experience (e.g., in Kotlin, Scala, Clojure, Erlang, Elixir) is good to have. Experience with more than one programming language (Go, Python Java, Kotlin, Scala, Clojure, JavaScript, preferred.
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We are seeking a highly skilled and experienced Big Data Developer to join our team in either Jersey City, NJ or Tampa, FL. In this role, you will play a critical role in developing and maintaining big data solutions using Apache Spark and Scala to unlock valuable insights from our banking domain data.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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ETL developer with Elasticsearch/Apache Spark/Scala experience. Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. ETL developer with Elasticsearch/Apache Spark/Scala experience.
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Experience with software languages such as PERL, Python (Required), JSON, Java, JavaScript, Prolog, Lisp Scala, Haskell and API Development. Experienced with microservices infrastructure and solutions such as Docker, Kubernetes, MuleSoft, cloud API development, OpenAI, data streaming tools such as Kafka & Spark, AI enabled solutions and infrastructure.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift. Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift.
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Proficiency in Python, Scala, or SQL for data manipulation in DataBricks. We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Proficiency in Python, PySpark Scala, Java, SQL, Airflow, dbt. Minimum 6 years of experience in coding languages like Python, Scala, Java, SQL required. Implementation experience of two or more of Modern data platforms (AWS/Azure Synapse/Redshift/Snowflake, Databricks, Redshift, Big Query,) required.
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Job Title: AWS Data Bricks Spark/Scala Engineer. 6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Principal Data Scientist.
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