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As a Technical Account Manager specializing in Security Operations (including the advent of an intelligent Copilot), ETL streamlining and pipelining of big data, Security Analytics, Security Information and Event Management (SIEM), SOAR, Threat Intelligence, you will play a pivotal role in leading new and existing customers through the implementation of the Anomali Security Operations Platform.
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Utilize programming languages like JavaScript, Node.js, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Event Driven ETL,and a variety of AWS tools and services.
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Deep understanding of components of data and analytics (building data platforms, data platform management, data extraction, ETL/ELT, data security, and data/insight reporting) Hands-on experience with Databricks and Azure, including implementation using Unity Catalog.
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Design, implement, and automate ETL processes with source data coming from DBs (SQL and Oracle),CSV files and Splunk to enhance the data warehouse's reliability and efficiency. The ideal candidate will have a foundation in data analytics with specialized skills in Cognos Analytics, extensive experience with ETL (Extract, Transform, Load) processes, and proficiency in Python, scripting, and PowerShell.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
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Tableau, ETL (Alteryx), SQL, Design & Usability, solutions oriented, & client engagement. Master's degree in Computer Science, Data Science, Information Systems, or another quantitative fieldlevel 2a - fully remote- no covid vaccine required.
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1) Support the Extract , Transform & Load (ETL) on the existing data pipelines run on AWS/Databricks using Airflow. 1) Support the Extract , Transform & Load (ETL) on the existing data pipelines run on AWS/Databricks using Airflow.
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Experience with data engineering concepts and challenges including data warehouse solutions, ETL, and distributed systems, as well as familiarity with and experience manipulating data in various formats, such as: avro, neo4j, json, cef, csv, w3c, pandas.
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Strong understanding of relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra), and data integration technologies (e.g., ETL tools, data virtualization, API integrations.
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Hands on experience of ETL tools like Informatica and SSIS is preferredExperience with Complex Data Parsing (Big Data Parser) a must. a mustExperience with Web Scraping frameworks (Scrappy or Beautiful Soup or similar)Extensive experience working with Data APIs (Working with RESTful endpoints and/or SOAP)Knowledge of any commercial distribution like Horton Works, Cloudera, MapR, DataBricks etc.
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Experience with marketing analytics tools (e.g., Google Analytics, Adobe Analytics, Salesforce Marketing Cloud) and how to drive key performance indicators. Focused on data modeling, data quality, data integration and data governance.
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Experience with data processing and ETL tools such as Apache Beam, Spark, or similar technologies, and familiarity with workflow orchestration tools like Airflow. Utilize GCP technologies such as BigQuery for data warehousing, Cloud Storage for data lake solutions, Dataflow for stream and batch data processing, and Vertex AI Pipelines for orchestrating and automating ML workflows.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Integrate source applications with consuming data warehouse using ETL tools like Informatica power center, Azure data factory, AWS Glue, and Oracle golden gate. Implement data fabric using Informatica data catalog, Collibra, Axon, and Informatica Intelligent Cloud Services across priority business domains.
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Keywords:Boston MA Jobs, Lead C# Software Developer, C#, Python, ETL, RESTful, SOAP, OOP, Data Structures, Algorithms, Cloud, AWS, Remote, Work From Home, Software Engineer, Programming, Programmer Analyst, Massachusetts Recruiters, IT Jobs, Massachusetts Recruiting.
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etl job in Philadelphia, PA
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