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Experience with Customer Data Platforms (CDP) like Segment, mParticle, Tealium AudienceStream or other industry leading CDP technology would be a plusHands-on experience with marketing platforms such as Google Analytics, Adobe Analytics, Marketo, HubSpot, Salesforce Marketing Cloud, etc would be a plusFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (S3, Redshift, BigQuery, etc.
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Mandatory Certificate : Databricks Certified Associate Developer for Apache Spark. Hands-on experience on Apache Hadoop ecosystem components like MapReduce, Sqoop, Pig, Hive, HBase, Spark, Kafka, Oozie, Flume, Zookeeper.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
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Knowledge of Apache Spark, KAFKA, HIVE, Hbase, Flink, Airflow. Knowledge of Amazon Web Services (AWS) – mainly S3, EC2, EMR, and NiFi. Knowledge of Palo Alto Nex-Gen firewall, MS PowerShell, and cloud solutions.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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.
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In addition, our Life Balance program provides access to professional counseling services, life coaching and other resources to support your daily life needs. Current deep experience with AWS, APIs, accelerators, DevSecOps.
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Technologies we use: Python, SageMaker, AWS cloud stack (e.g. RDS, S3, DynamoDB, lambdas, Kinesis, ECR), Datadog, Terraform, Snowflake, MySQL, and Postgres, among many others. Experience working with various data and ML infrastructure technologies (SageMaker, AzureML, SQL/NoSQL) and data streaming/processing (Spark, Kafka, Flink, Airflow, AWS Kinesis) is preferred.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Cloud Architecture Certification (AWS, GCP, or Azure) or strong architecture experience on Cloud. Champion of data technologies in areas of data integration, Business Intelligence and AI/ML. As a Sr. Architect, you will help lead the effort to create the technology target state for the Enterprise Data and Analytics Unit of a global, Dow 30 company.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
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Experience deploying and running services in AWS, and engineering big-data solutions using technologies like Databricks, EMR, S3, Spark. Experience building streaming pipelines using Kafka, Spark, Flink, or Samza.
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Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect. Proven expertise in integrating large-scale external datasets, including tabular, text, and image data, through APIs, FTP, S3, or web scraping, building reliable and repeatable pipelines.
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Extensive hands-on experience with Apache Spark, Kafka streaming for large-scale data processing and analytics. Experience with various AWS services, EMR Clusters, Serverless, S3, Redshift, IAM & Athena etc.
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Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark. 3+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi , or MySQL.
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Experience with cloud platforms such as AWS, Azure, or GCP, and related services (e.g. S3, Snowflake, BigQuery) Strong understanding of data processing technologies and distributed computing frameworks (e.g. Hadoop, Hive, Airflow, Spark, DBT, Kafka, Flink.
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Strong experience architecting big data solutions using Data Lake, Data Warehouse , Data Products. Experience with specific DevOps and MLOps (Machine Learning) practices. Executed technology modernization initiatives including migration to cloud native and API Strategy.
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