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Stay up-to-date with industry trends and best practices related to Spark, big data technologies, Python, and AWS services. Proven experience (10+ years) as a Spark Developer or in a similar role working with big data technologies.
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Proven experience (10+ years) as a Spark Developer and Scala development with big data technologies. Position : Big Data - Scala Spark Developer. Integrate Python, AWS services (such as S3 and EMR), Redshift, Snowflake, Hadoop, Hive, Spring, Hibernate, Cassandra, Kafka, and ETL processes into Spark applications.
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Familiarity with Big Data technologies (BigQuery, Hadoop, Spark, Cassandra etc.) Big Data technologies (BigQuery, Hadoop, Spark, Cassandra etc.) Nice to have Experience working with Big Data solutions and architecture.
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Key Words: Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Databricks | Cassandra | Kubernetes | Microservices | Spark | Databricks |. Proficient with Angular, React, TypeScript or GWT Experience with cloud technology stack (AWS, Kubernetes, Spring Boot, Kakfa, SSO, Cassandra) Proficient with developing responsive content Java or other Object Oriented Languages Experience Experience with RDBS (Postgres, SQL, Oracle) Understand the core aspects of web development (patterns, architecture, IDE) Experience with asynchronous workflows/patterns.
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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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8+ years of experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more. Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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One (1) year experience working with products that support highly distributed, massively parallel computation needs such as Hbase, Hadoop, Acumulo, Big Table, Cassandra, Scality et cetera.
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Looking for a highly energetic and collaborative Big Data Developer Lead with experience building enterprise data solutions around Business and IT operations. Big Data Developer Lead with experience.
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Exposure to No-SQL databases like MongoDB, CouchDB, Cassandra, GraphDB.Scalable Data Warehouse Solutions: Experience in architecting and designing scalable data warehouse solutions on cloud platforms, specifically on BigQuery or Redshift.
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Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik or Other.
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Experience in leading teams that have built full stack applications from the ground-up using modern micro-service technologies like Java Spring Boot, REST API Gateway, front-end technologies such as Angular, ReactJS, data storage technologies such as RDBMS - MySQL, NoSQL - HBase/MongoDB/Cassandra etc.
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Data Engineering with experience in tools such as: Big data tools (Hadoop, Spark, Kafka, etc.) Relational SQL and NoSQL databases (including Postgres and Cassandra), Data pipeline and workflow management tools (Azkaban, Luigi, Airflow, etc.
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