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3+ years of experience in data analysis and reporting, demonstrating advanced proficiency using SAS EG/SQL query language to access Teradata / SQL Server / Hadoop databases. Experience with Unix commands, Shell scripting and Teradata BTEQ scripting.
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Develop and maintain innovative reports, dashboards, and processes using SAS, SQL, and Tableau. 3+ years of Tableau developer experience preferred. Client Reporting Analyst III within the Prepaid Card Data Analytics and Reporting team provides reporting that is insightful, reliable, easy-to-use, scalable and sustainable.
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Experience in Informatica Powercenter, Power Exchange, Data Quality, Snowflake, Unix, Hadoop, AWS, Scheduling tools. Programming in a Linux/Unix environment, including shell scripting.
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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
$55 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in data pipelines tools such as Apache Airflow, NiFi, or AWS Data Pipeline, Hadoop, Spark, etc. Experience in Unix/Linux systems, HPC (High performance Computing, Cloud Computing.
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Design, develop and maintain reusable Data Extraction, Data ingestion processes using Statistical Modeling, Python, Power BI, SQL, Hadoop, HIVE, Oracle, Natezza, Snowflake, Azure, Unix. Optimize data structures and database schemas.
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Skill: Big Data Architect Big Data Architect, Cloudera Big Data Tool stack (Hive, Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop. Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Familiarity with various operating systems (e.g. Windows, UNIX) and databases (e.g. MySQL, DB2, SQL Server, Oracle, DynamoDB, MongoDB, Redshift etc. Good knowledge of data base management and SQL, Informatica, Hadoop/Spark, and ETL tools.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Python, Java, Machine Learning, Linux, UNIX, Git, subversion, Hadoop. Familiarity with Hadoop Pig/Piglet is a plus. Familiarity with Hadoop / Map Reduce Analytics is a plus.
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Previous experience on Google Cloud computing, Google Cloud fundamentals, Kubernetes, BigQuery and Hadoop development or administration in any of these is a MUST. The engineer will be responsible in Big Data platforms that runs on unix clusters, cloud technologies and VMs. The candidate will be working on automation, deployment, development and administration.
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OST is looking for a Hadoop Application Support Analyst for a contract Hybrid role in Mississauga. PowerShell, UNIX shell scripting, Python, Java will be of added advantage. Hands-on experience in supporting applications built on Hadoop.
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Design, Architecture and implement effective Analytics solutions and models using technologies including, but not limited to - Spark, Hadoop, Snowflake and UNIX. Expertise in Snowflake - data modeling, ELT/ETL using Snowflake SQL, Stored Procs, and knowledge in Big Data areas like Hadoop and Talend (optional.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Familiarity with some of the following technologies and disciplines: SQL, SPSS, Spark, R, SAS, Python, NoSQL, Hadoop, Scala, Java, Hive, Windows, Linux, computer hardware, cloud systems, and architecture, Ruby on rails, shell script, Visio, Android/iOS, Agile and DevOps tools such as GIT or JIRA, RESTful and Microservice APIs, SDLC, JavaScript, MS Visual Studio, security fundamentals, OWASP, UNIX, C.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experienced on Big Data platform like Hadoop, hbase, CouchDB, hive, Pig etc. Used SQL, PL/SQL and similar languages, UNIX shell scripting. 5-7 years of experience as a Data engineer with extensive working experience using Pyspark, Advanced SQL, Snowflake, complex understanding of SQL and Skills, Spark, Snowflake and Glue.
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Technologies et langages : Spark, Scala, Hadoop, SQL/T-SQL, Python (PySpark), Hue, Zeppelin, Suite MS BI (SQL Server, SSIS, SSRS), PowerShell, Shell Unix, AWS (S3, Glue), Docker/Kubernetes, Power BI.
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