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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
$120,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - 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, Snowflake, AWS. 9+ years of experience in application development including Python, SQL, Scala, or Java.
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Experience in one or more of JVM languages: Java, Scala, Kotlin, Clojure. Experience in one or more of JVM languages: Java, Scala, Kotlin, Clojure. You run it: engineers with assistance from global SRE guild are responsible for operation of systems they built.
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Expertise in building robust data engineering frameworks, Azure cloud, python/JAVA/Scala, and Data bricks (Apache Spark). Familiarity with JVM-based function languages including Scala and Clojure; Hadoop query languages including Pig, Hive, Scalding, Cascalog, PyCascading; along with alternative HDFS-based computing frameworks including Spark and STORM are desirable.
$116,700 - $196,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Responsible for data transformation, ensuring quality development using tools such as Alteryx, Talend, Databricks, SSIS, Informatica, and/or programming languages such as SQL, Python, Spark, Scala, or R.
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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.
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Advanced in one or more programming language(s) - Java, Python, Scala and Traditional Database Skills (Oracle, SQL Server). Familiarity with Modern Analytics tools such as Looker, Thoughtspot, Tableau, Quik Sense etc.
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Must have excellent coding skills in Python(and/or Scala), preferably Python. Must be well-versed with Databricks Lakehouse concepts and its implementation in large-scale enterprise environments.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Excellent programming skills in Python, R, Scala, or other languages used for ML development. Design, develop, and deploy cutting-edge machine learning models using LLM and other relevant technologies to solve critical mainframe challenges for developers and operations teams.
$91,200 - $152,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong programming skills in languages such as Java, Scala, or Python. Stay current with industry trends and best practices in data engineering and big data technologies. Experience with distributed computing frameworks and big data technologies (e.g., Hadoop, Spark.
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3-7 years in development using Java, Python, PySpark, Spark, Scala, and object-oriented approaches in designing, coding, testing, and debugging programs. Understanding of distributed file systems, and their optimal use in the commercial cloud (HDFS, S3, Google File System, Databricks.
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Experience of multiple programming languages, such as C#, Java, Python, SQL, Scala, or similar. Experience of Extract/Transform/Load (ETL) and Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Azure Data Factory, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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5+ years of experience in application development including Python, SQL, Scala, or Java. using programming languages like Java, Scala, Python. Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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One of the following professional certifications: AWS Certified Solutions Architect or AWS Certified Developer. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Java, Spring, Hibernate, Scala, Spark, Hadoop, Git, HBase, Unix, Docker, Maven, Ansible, Postgres and migration to AWS is expected down the road. Experience with Hadoop, Spark, and Scala is a plus.
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