Job Description

• Bangalore

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

Job Profile Summary
The Sr Data Engineer is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems or building new solutions from ground up. This role will work with developers, architects, product managers and data analysts on data initiatives and ensure optimal data delivery with good performance and uptime metrics.

Your behaviors align strongly with our values (Seek to Understand, Lead with Yes, Debate, Decide & Do, Think Ahead & Move Fast and Re-imagine the Possibilities), because ours do.

Job Description

Scope of the Role:

• Direct Reports: This is an individual contributor role.
• Implements enhancements for projects assigned to Common Data Engineering
• Create, enhance, and maintain optimal data pipeline architecture and implementations.
• Analyze data sets to meet functional / non-functional business requirements.
• Identify, design, and implement data process: automating processes, optimizing data delivery, etc.
• Build infrastructure and tools to increase data ETL velocity.
• Work with data and analytics experts to implement and enhance analytic product features.
• Provide life cycle support the Operations team for existing products, services, and functionality assigned to the Data Engineering team.

Experience, Education, and Certifications:

• Bachelor’s degree in Computer Science, Statistics, Informatics or related field or equivalent work experience.
• 5+ years of Software Development experience, including 3+ years of experience in Data Engineer fields.

Additional Requirements:

• Familiar with Agile software design processes and methodologies.
• Experience in building and optimizing big data pipelines, architectures, and data sets:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL databases, such as PostgreSQL, MySQL, etc.
  • Experience with stream-processing systems: Flink, KSQL, Spark-Streaming, etc.
  • Experience with programming languages, such as Java, Scala, Python, etc.
  • Experience with cloud data engineering and development, such as AWS, etc.
• Good analytic skills related to working with structured and unstructured datasets.
• Knowledge of message queuing, stream processing and scalable big data stores.
• Ownership/accountability for tasks/projects with on time and quality deliveries.
• Good verbal and written communication skills.
• Teamwork with independent design and development habits.
• Work with a sense of urgency and positive attitude.