Analytics Data Ops Developer (Jnr/Mid, InHouse)

Εταιρεία

ManpowerGroup Greece, on behalf of its client, an international leader at its domain, is seeking for an Analytics Data Ops Developer

Workplace Location: Athens – Northern Suburbs

Περιγραφή

What you will be doing:
You will be part of the Application Development team and you will be responsible for developing and maintaining analytical data flow solutions for multiple projects across businesses using multiple BI technologies. The Analytics Data Ops Developer will work in a dynamic environment with a variety of ETL tools and Data Platforms which include Azure Data Factory, Synapse, Alteryx, Apache NiFi, Python and SQL Server.

Part of the day-to-day activities would be to develop and monitor data flows using monitoring platforms and administer source and destination systems to ensure optimal information flow. Strong focus on Data Integrity and attention to detail.

More specifically you will:

• Develop and maintain data flows and applications (i.e. Alteryx, Python, SQL Server, Apache NiFi)
• Develop and Monitor pipelines on Azure (Data Factory, Synapse, etc.)
• Develop data architectures and data models including ETL staging models using Synapse, Alteryx, Python
• Work in SQL Server and/or Cloud based DB technology to create and maintain data marts/delta lakes
• Perform data platform administration like SQL Server, Apache NiFi, Business Objects, Data Services, Windows Servers
• Troubleshoot and perform optimization and performance tuning of SQL Server Code and design (SQL Profiler, Indexes, Partitions, etc.)
• Support the BI team as well as the end users in the troubleshooting of Data Operations errors
• Write functional and technical specifications for the design and implementation of analytical solutions
• Communicate and work well in an agile team environment
• Work with BI team, business users, and Project Managers to effectively deliver BI solutions on-time and on budget

Requirements
• Bachelor’s Degree in computer science preferred
• 3+ years of experience working as a Data and ETL Developer
• 3+ years of experience supporting Data Operations
• 2+ years of customer interfacing experience – project oversight, customer presentation
• 2+ years of experience as a Data Analyst
• Solid experience in the Data and Analytics space creating data marts and data flows
• Support of Data Operations and related data platforms
• Attention to detail and ability to focus on finding elegant solutions to existing data issues to promote data integrity
• Excellent communication and writing skills in English


Any experience in the following would be considered an asset
• Ability to administer SQL Server Clusters (AlwaysOn availability groups) and Disaster Recovery
• Ability to administer Linux servers
• Experience in troubleshooting and resolving complex cross-system data issues

Benefits
• Competitive Salary
• Private Health Insurance
• Modern working environment
• Prospects of development
• Continuous education

Τόπος Εργασίας:

Greece

Διαθεσιμότητα:

Τύπος θέσης εργασίας:

Δημοσιεύτηκε:

06/06/2022

Κωδικός Εργασίας:

100943

Προβολές:

991

Όνομα Υποκαταστήματος:

Αριθμός ανοιχτών θέσεων εργασίας:

1
 
 

Analytics Data Ops Developer (Jnr/Mid, InHouse)

Greece
06/06/2022
100943
991
1

Εταιρεία

ManpowerGroup Greece, on behalf of its client, an international leader at its domain, is seeking for an Analytics Data Ops Developer

Workplace Location: Athens – Northern Suburbs

Περιγραφή

What you will be doing:
You will be part of the Application Development team and you will be responsible for developing and maintaining analytical data flow solutions for multiple projects across businesses using multiple BI technologies. The Analytics Data Ops Developer will work in a dynamic environment with a variety of ETL tools and Data Platforms which include Azure Data Factory, Synapse, Alteryx, Apache NiFi, Python and SQL Server.

Part of the day-to-day activities would be to develop and monitor data flows using monitoring platforms and administer source and destination systems to ensure optimal information flow. Strong focus on Data Integrity and attention to detail.

More specifically you will:

• Develop and maintain data flows and applications (i.e. Alteryx, Python, SQL Server, Apache NiFi)
• Develop and Monitor pipelines on Azure (Data Factory, Synapse, etc.)
• Develop data architectures and data models including ETL staging models using Synapse, Alteryx, Python
• Work in SQL Server and/or Cloud based DB technology to create and maintain data marts/delta lakes
• Perform data platform administration like SQL Server, Apache NiFi, Business Objects, Data Services, Windows Servers
• Troubleshoot and perform optimization and performance tuning of SQL Server Code and design (SQL Profiler, Indexes, Partitions, etc.)
• Support the BI team as well as the end users in the troubleshooting of Data Operations errors
• Write functional and technical specifications for the design and implementation of analytical solutions
• Communicate and work well in an agile team environment
• Work with BI team, business users, and Project Managers to effectively deliver BI solutions on-time and on budget

Requirements
• Bachelor’s Degree in computer science preferred
• 3+ years of experience working as a Data and ETL Developer
• 3+ years of experience supporting Data Operations
• 2+ years of customer interfacing experience – project oversight, customer presentation
• 2+ years of experience as a Data Analyst
• Solid experience in the Data and Analytics space creating data marts and data flows
• Support of Data Operations and related data platforms
• Attention to detail and ability to focus on finding elegant solutions to existing data issues to promote data integrity
• Excellent communication and writing skills in English


Any experience in the following would be considered an asset
• Ability to administer SQL Server Clusters (AlwaysOn availability groups) and Disaster Recovery
• Ability to administer Linux servers
• Experience in troubleshooting and resolving complex cross-system data issues

Benefits
• Competitive Salary
• Private Health Insurance
• Modern working environment
• Prospects of development
• Continuous education