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Big Data Engineer

Dallas, TX, United States

The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions. Join a smart, highly skilled team with a passionfor technology, where you will work on our state of the art Big Data Platforms. They must be a verygood communicator, both written and verbal, and have some experience working with business areas totranslate their business data needs and data questions into project requirements. The candidate willparticipate in all phases of the Data Engineering life cycle and will independently andcollaboratively write project requirements, architect solutions and perform data ingestiondevelopmentand support duties.

Skills and Experience:

Required:

6+ years of overall IT experience

3+ years of experience with high-velocity high-volume stream processing: Apache Kafka andSparkStreaming

Experience with real-time data processing and streaming techniques using Spark structuredstreaming and Kafka

Deep knowledge of troubleshooting and tuning Spark applications

3+ years of experience with data ingestion from Message Queues (Tibco, IBM, etc.) and differentfile formats across different platforms like JSON, XML, CSV

3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka,Sqoop, Hive, S3, HDFS, or

3+ years of experience building, testing, and optimizing ‘Big Data’ data ingestion pipelines,architectures, and data sets

2+ years of experience with Python (and/or Scala) and PySpark/Scala-Spark

3+ years of experience with Cloud platforms e.g. AWS, Google Cloud Platform, etc.

3+ years of experience with database solutions like Kudu/Impala, or Delta Lake or Snowflake orBigQuery

2+ years of experience with NoSQL databases, including HBASE and/or Cassandra

Experience in successfully building and deploying a new data platform on Azure/ AWS

Experience in Azure / AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue

Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series

Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, DeltaLakewith Spark SQL, Delta Live Tables, Unity Catalog

Knowledge of Unix/Linux platform and shell scripting is a must

Strong analytical and problem-solving skills

Preferred :

Strong SQL skills with ability to write intermediate complexity queries

Strong understanding of Relational & Dimensional modeling

Experience with GIT code versioning software

Experience with REST API and Web Services

Good business analyst and requirements gathering/writing skills

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