Data Engineering Manager

India (Bangalore)

Syniverse

Syniverse's secure, global network reaches billions of people and devices. We empower businesses to transform how they connect and engage with customers.

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Syniverse is the world’s most connected company. Whether we’re developing the technology that enables intelligent cars to safely react to traffic changes or freeing travelers to explore by keeping their devices online wherever they go, we believe in leading the world forward.  Which is why we work with some of the world’s most recognized brands. Eight of the top 10 banks. Four of the top 5 global technology companies. Over 900 communications providers. And how we’re able to provide our incredible talent with an innovative culture and great benefits.

Who We're Looking For

We are looking for a Data Engineering Manager to join our growing team of analytics experts. This role will be responsible for leading the expansion and optimization of our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

The perfect candidate will have strong data infrastructure skills and proven experience of leading and scaling BI teams, strong project management leadership, and a strong vision for how BI can improve Syniverse’s products.

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Some of What You'll Do

Scope of the Role:  

  • Direct Reports: ​This is a management role with direct reports.​  

 

As a Syniverse leader we expect you to amplify the careers of team members through coaching and development opportunities. By doing so you demonstrate that: 

  • You appreciate – the work, your team, and the customers you serve.  

  • You accelerate – skill growth, build networks and expand possibilities.   

  • You accept – by making space for all ideas and inviting diversity of thought. 

  • You acknowledge – and lead with empathy, vulnerability, and honesty. 

 

Key Responsibilities 

  • Perform managerial duties such as hiring, mentoring, training, performance review, budget and resource control, etc 

  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs. 

  • Manage data warehouse plans across a product vertical. 

  • Drive the design, building, and launching of new data models and data pipelines in production. 

  • Drive data quality across the product vertical and related business areas. 

  • Manage the delivery of high impact dashboards and data visualizations. 

  • Define and manage SLA’s for all data sets and processes running in production. 

  • Create and maintain optimal data pipeline architecture  

  • Assemble large, complex data sets that meet functional / non-functional business requirements  

  • Proactively identify and lead the design and implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.  

  • Partner with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs  

  • Become an SME in Data Engineering and mentor peers on appropriate technical methodologies and implementations  

 

 

 

Experience, Education, and Certifications:  

  • Bachelors degree in Engineering in Computer Science/ Electronics or equivalent. 

  • 10+ years of Software Development Experience, Software Engineering/QA experience, 

  • At least  4+ years experience working in a telecom domain environment preferred in a lead role. 

  • Experience in Java and J2EE . 

  • Extensive Experience in Software design and architecture of Enterprise systems. 

  • Experience/ Knowledge of Telecom domain highly preferred. 

  • Experience working with Cross-functional teams – QA, Operations, Product and Program Managers. 

  • Extensive experience designing, developing, implementing and supporting  applications on at least two of the following Operating Systems: UNIX, Windows. 

  • Experience in capturing Requirements interfacing with the Customers/ Product/ Program Managers; define delivery plan; define scope and project plan. 

 

 

Additional Requirements:  

  • Good analytical and problem solving skills Good Knowledge of SDLC . 

  • Knowledge of RDBMS concepts. 

  • Excellent analytical, multitasking, and communication skills (both verbal and written). 

  • Detail orientation and familiar with analysis and troubleshooting techniques. 

  • Strong leadership, decision making, team building, and conflict resolution skills. 

  • Project, Resource Management Skills. 

  • Experience working with teams in diverse geographic locations. 

  • Extensive Experience working in telecommunications and wireless industry knowledge. 

  • Experience using a source code management tool. 

  • System architecture experience. 

  • Statistical and benchmark testing experience. 

  • Strong understanding of GSM standards and testing methods preferred. 

  • Good knowledge of Billing/Roaming/SMS/MMS technologies preferred. 

  • Strong knowledge of Unix/Linux and Oracle – Mandatory. 

  • Strong analytical, business logic and problem resolution skills. 

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Why You Should Join Us

Join us as we write a new chapter, guided by world-class leadership. Come be a part of an exciting and growing organization where we offer a competitive total compensation, flexible/remote work and with a leadership team committed to fostering an inclusive, collaborative, and transparent organizational culture.

At Syniverse connectedness is at the core of our business. We believe diversity, equity, and inclusion among our employees is crucial to our success as a global company as we seek to recruit, develop, and retain the most talented people who want to help us connect the world.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Computer Science Data pipelines Data quality Data warehouse Engineering Java Linux Oracle Pipelines RDBMS React SDLC Statistics Testing

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Startup environment

Region: Asia/Pacific
Country: India

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