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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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The Service Reliability Engineer (SRE) role in Apple Services Engineering requires a mix of strategic engineering and design along with hands-on, technical work. Deep understanding and experience in one or more of the following - Docker, Mesos, Kubernetes, AWS, Ansible, Hadoop, Spark, Cassandra.
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Should have hands on expertise in SQL (ability to write complex Sql's, Joins etc) and good data analysis skills and ability to work on multiple databases like Oracle, Sybase, Hadoop, Sql Server.
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Hands-on experience with servers (Supermicro, EMC, DELL, HP) is preferable. Perform hands-on work on servers and computers/networking equipment. Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Hands-on experience with big data tools such as Apache Hadoop, Spark, Kafka, and others. Collaborate with other teams on designs involving large scale data and cloud technology.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data at large scale. Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid.
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Basic experience/ knowledge on modern distributed technologies such as Spark SQL, Hadoop, Presto, Hive, Kafka, Cassandra, Redshift or other equivalent solutions. Strong hands-on experience with at least 3 full life cycle implementations on Oracle SQL and PL/SQL (Or other leading RDBMS such as MySQL or SQL Server), data modeling, and design.
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Expert and Hands-On development in distributed computing environment using Hadoop, Scala, Spark and Apache Airflow. Evaluate new technology and advise on our data lake ecosystem.
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Hands-on experience with any high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc.
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1 year of hands-on experience with selling computer hardware solutions to data center or enterprise accounts (prior software or telecom sales will be considered) preferred. The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role.
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Hands-on experience in databases like Teradata, Oracle, SQL Server, Databricks, MySQL and Db2. Hands-on experience in System Manager, Command Manager, Integrity Manager and Object Manager.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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RESPONSIBILITIES INCLUDE: Be primary point of contact for the data pipeline that involves Kafka, Hadoop, Cassandra etc and infrastructure components. Understanding of SRE principles and goals along with prior on-call experience.
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Hands-on experience on Cloudera, working with data delivery teams to setup new Hadoop users. Strong hands-on experience in implementation of security like Kerberos, Sentry, OS Upgrade and TLS/SSL implementation etc.
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