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ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. Information Delivery Qlik Sense, MicroStrategy. Cloud Lake and Warehouse Snowflake, S3 Data Lake, other comparable technologies.
$118,800 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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The ideal candidate is an experienced Data Engineer with background in ETL or ELT processing with SQL/NoSQL databases, a background in transforming existing tech to new open source technologies (ideally Postgres) as well as a strong development background in Spark, Scala, Java and/or Python.
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Designing and implementing Distributed systems like Spark, Kafka and leveraging Data Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. Designing and implementing Distributed systems like Spark, Kafka and leveraging Data Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience in AWS components including: Lambda, Kinesis/Firehose, Airflow, Glue,Spark, EC2, SageMaker, S3, NoSQL database and API Gateway. Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering.
$135,700 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with SQL technologies: Databricks (Spark), OR Azure Synapse. Strong knowledge of Python, Spark, and T-SQL. Experience with SQL technologies: Databricks (Spark), OR Azure Synapse.
$121,500 - $143,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Prior experience must include seven (7) years of experience with the following: defining, planning and delivering technical solutions that support business outcomes; delivering enhanced analytic and data access capabilities; use of techniques for data manipulation including Cloud platforms; and using the following tools and programming languages: DataBricks, Azure, Spark, Python, SQL and Kafka.
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Comfort following versioning and release strategies with GIT.Must have 3+ years experience with Python, Spark, Bash, AWS API Libraries, AWS CLI, Java and/or Groovy helpful. Experience with Kubernetes, Docker, and/or cloud deployment technologiesInfrastructure as Code (Terraform, Cloudformation, etc.
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Glue, Lambda, Step Functions, EKS, Event Bridge, SQS, SNS, S3, and RDSApache Spark and KafkaDeveloping with containers (e.g. Docker, EKS, OpenShift, etc.) Glue, Lambda, Step Functions, EKS, Event Bridge, SQS, SNS, S3, and RDSApache Spark and KafkaDeveloping with containers (e.g. Docker, EKS, OpenShift, etc.
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Proficient in any of the following programming languages such as (Python, Scala, or Spark). Candidate should possess 7+ years of total experience with at least 5+ years of hands-on experience with AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM.
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Big data frameworks (TensorFlow, Caffe, Spark, Hadoop, Azure AI Stack) Hands on experience with Hive, Impala and Spark. Big data frameworks (TensorFlow, Caffe, Spark, Hadoop, Azure AI Stack.
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Data processing: (Spark, SQL Server, PostgreSql, Hadoop/Hive), 5+ years of experience in designing and building new scalable on-prem/cloud data engineering solutions using distributed frameworks like Spark, Hadoop etc.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, SQL, Spark notebooks (Using Databricks) Proficiency in programming languages such as Python, SQL, Spark notebooks (Using Databricks) 8 – 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. e Apache Spark or Apache Storm or Celery.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Successful candidates will not only demonstrate advanced knowledge of AWS, Databricks, Snowflake, Python, Spark APIs and Event Driven patterns – but have tangible experience with similar efforts to modernize legacy data & analytics platforms from on-premise to cloud.
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spark job Company: Boys And Girls Club Of Bluffton in Hartford, CT
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