Principal Data Engineer

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 talented Principal Data Engineer who is passionate about building software and data pipelines to join a collaborative and distributed group of Developers on our core Analytics development team. You will be designing, writing and implementing modern data systems with unified data models for Syniverse cloud-based data analytic products serving 500+ worldwide mobile carriers and enterprise customers.

You will have the opportunity to work with experienced and industry leading development team, tackle the challenges of processing massive real time transactions, optimize or even create new data architecture to support next generation data initiatives. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems or building new solution from ground up and is open to learn new technologies.

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Some of What You'll Do

Scope of the Role:  

• Direct Reports:  This is an individual contributor role with no direct reports 

 

 

Key Responsibilities 

• Design, develop, and maintain software tools and data pipelines. 

• Deliver complex features with quality and supportability. 

• Write and maintain clear architecture, tests and system guide documentation. 

• Collaboratively define, scope, prioritize, and estimate work. 

• Assist with implementations and ensure the software is functioning as expected. 

• Review design documents and code to provide constructive feedback. 

• Identify, design, and implement data process: automating processes, optimizing data delivery, etc. 

• Build infrastructure and tools to increase data ETL velocity. 

• Testing and deploying programs and applications. 

• Triage, reproduce, and debug issues reported by other coworkers for our areas of responsibility. 

• Work autonomously on new items and be proactive in unblocking yourself either by finding solutions or reaching out to other peers. 

• Adhere to team's culture of following SLDC process of tracking bugs and features. 

• Constantly improve product quality, security, and performance. 

 

 

 

Experience, Education, and Certifications:  

• Bachelor’s degree in Computer Science or related field or equivalent work experience. 

• 8+ years of experience as a full-time Software Developer/Engineer, including 3+ years’ work on Data Engineer fields. 

• Experience using the following software/tools: 

• Big data tools: Hadoop, Kafka, Palantir, Spark, etc. 

• Relational SQL: Postgres, Oracle, etc. 

• Data pipeline and workflow management tools: StreamSets, Palantir Foundry, etc. 

• Stream-processing systems: Storm, Spark-Streaming, Apache Flink etc. 

• Object-oriented/object function scripting languages: Python, Perl, etc.