The Data Ops responds tosystem management alerts to handle system / operations exceptions in regards toour day-to-day operations in the reception and delivery of Big Data.
Assuringprocess execution and operations, as well quality within the assignedenterprise systems of our product offerings.
The Data Ops is also responsiblefor business batch processing and change management support for our customers.This position performs data management and analysis tasks within a specificfunctional area or data types, and requires good communication,relationship management abilities on dealing with data sources from ourcustomers.
5+ Years of strong experience in operations andproduction support with Data processes
Bachelor in Computer Science, Software Engineering, orInformation Technology related field
Proficiency in English and Portuguese
Key responsibilities :
Specialized business support through in-depth data analysisand research.
Independently design queries to assess data for researchpurposes.
Independently run complex data statistics.
Run data profiles.
Support business or other data engineering teams with datasubject matter expertise.
Design, complete, and present new data evaluations todiverse audiences.
Create data documentation including mappings and qualitythresholds.
Investigate, track, and report data issues.
Good level of intimacy within a specific data content area.
Conducts routine data review and verification and ensurescorrections / clarifications are made in a timely manner.
Undertake and complete new data onboarding and / or productiondata management functions asassigned / required.
Utilize various data workflow management and analysis tools.
Resolve and / or guide data sources in resolving moderate dataissues within specific functional area or data type.
Assist with production of detailed information,requirements, and / or instruction to internal resources regarding, but notlimited to : data analysis, data correction, data questions, and new dataprojects.
Produce moderate ad hoc data counts, stats, and examples asrequired.
Mentor less senior data engineers on methodologies andoptimization techniques.
Being an owner of the data ingestion, pre-processingoperations and manage customers processes.
Must Have :
Strong proficiency with development languages such as SQL,UNIX, Linux, XML,etc.
Strong proficiency with various data types and formatsincluding, but not limited to : XML, flat files, delimited,etc.
Strong proficiency with data analysis tools andprocesses.
Excellent proofreading skills to see how data and facts canbe linked together to create more meaningfulconclusions.
Strong ability and desire to learn new processes, tools, andtechnologies.
Good problem solving and research skills.
Strong attention to detail.
Good oral and written communications skills.
The following skills wouldbe a plus :
Experiences and knowledge on Big Data, Hadoop, AWS, AgileMethods.