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Writing Scala code with tools like Apache Spark + Apache Arrow + Apache Kafka to build a hosted, multi-cluster data warehouse for Web3. 6+ years experience engineering software and data platforms / enterprise-scale data warehouses, preferably with knowledge of open source Apache stack (especially Apache Spark, Apache Arrow, Kafka, and others.
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Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt. Modern ETL tools (Apache Beam, Kafka, Spark or similar) Experience with Scala and Spark or PySpark.
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Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. AWS Cloud Practitioner or more advanced AWS certification preferred.
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Python,scala,sql,nosql,data modeling,data warehousing,Spark,kafka,flink,hive,airflow,AWS web services. python, scala, sql, nosql, data modeling, data warehousing, Spark, kafka, flink, hive, airflow, AWS web services.
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Experience with modern data architectures and modern data platforms like Snowflake, Databricks etc. Collaborates in implementing components of data strategy – Master Data Management (MDM), data virtualization etc.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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GCP Data Engineer (Standard) with skills Big Data, Kafka, Python, Scala, Apache Spark for location Bangalore, India. Additional Skill(s): Kafka, Python, Scala, Apache Spark.
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Data indexing, search, and analytics, i.e., Elasticsearch, Spark, Databricks, Delta Lake. AWS GovCloud tools and technologies including AWS RDS, Lambda, OpenSearch (Elasticsearch), ElasticCashe for managed Redis Cache, ALB for load balancing, EC2, S3, Elemental MediaConvert, SSO, EventBridge, MSK for managed Kafka, KMS.
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Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark. Experience with building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming.
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3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka,Sqoop, Hive, S3, HDFS, or. Experience with real-time data processing and streaming techniques using Spark structuredstreaming and Kafka.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark.
$130,000 - $220,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Infrastructure, Spark, Kafka, Presto, Flink, Hadoop, AWS, EC2, S3, RDS, IAM, Kubernetes, Python, Java, Cassandra. Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, and Hadoop in both on-premise and AWS environments.
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Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Data exchange, message queuing, data streaming, and ETL processes, i.e., ActiveMQ, Kafka, JMS, Nifi. DevOps pipeline tools including Ansible, Jenkins, Terraform, Git, Nexus, and Hashicorp Vault for deployment pipeline.
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Scale and operationalize privacy and security systems in a big data environment leveraging technologies like Spark, Kafka, Presto, Flink, Hadoop in both on-premise and AWS environment through automation and infrastructure-as-code.
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