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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.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. As a DevOps Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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4+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark.
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Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch, Docker, CI/CD Pipelines, Git, or developing APIs. Hands-on experience in GCP, Databricks or Apache Spark mandatory.
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Strong programming skills in languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink. We manufacture and fulfill all orders on-demand using 3D printing from innovative plant-based materials.
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Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines. Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
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Big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. SQL database architecture, data modeling, normalization, and performance optimization. Using SQL database architecture, data modeling, normalization, and performance optimization.
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Programming languages may include-but are not limited to-Python, R, SQL, Java, SAS, and MATLAB. Strong programming skills and knowledge in big data analytics such as Apache Spark and AWS cloud computing.
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You will primarily be working on Apache Spark/DataLake/Airflow (in Python) and other cloud-based technologies. Experience in Apache Spark, Databricks or similar distributed processing systems.
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High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Utilizing Big Data technologies, including Hadoop and Spark frameworks, Apache Sqoop for data ingestion, Confluent Kafka and Apache Kafka for real time data streaming, Haddop Distributed Filing System (HDFS) for data storage, Apache Pig for cleaning, Apache Hive as well as SparkScala, Spark-SQL for transformation, and Apache Oozie for scheduling.
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Performing data management, including master data, metadata, data architecture, data governance, data quality, and data modeling utilizing SQL, Hive, Spark SQL, and Apache Spark.
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one on python sql apache spark jobs Title: lead software engineer in Raleigh, West Virginia
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