Data Engineer IV

Role Purpose: 

The role would drive a strong vision for how data engineering can proactively create a positive impact on the business. As a data engineering Senior Manager, the role will provide key technical expertise in overseeing Jumio’s current state of data ecosystem and deliver the immediate solutioning of the existing set of problem statements wrt data contracts, data movement, curation, deploy and management, while strategically frame out the data product build & operations standards. It would also require to drive adoption within the team towards best industry practices of ingress/egress frameworks, CICD, and devops standards.

The role empowers one to create & lead a strong team of data engineers who build data pipelines into various source systems, rest data on the Jumio DWH, and enable exploration and access for analytics, and reporting purposes.

Role Value: As a member of the data engineering team, this role will mature to help lead the development of very large and complex data products and it’s native cloud migration strategies, directly impacting the implementation of Jumio’s  data products around topics like revenue management, billing, churn, automation and customer success. The role will require the candidate to work closely with process owners, product owners and business users. It will be a fully remote ‘work from home’ model dealing with a hybrid cloud environment with in-house and 3rd party data sources and remote systems.  
 
Example Role Responsibilities :

• Analyze the 5Vs of data inflow through our sources and identify growth/volume trends
• Analyze the quality of the data pipe and feed files landing into our DWH
• Analyze the source system and review the data contracts across different  APIs, eliminate bad/unclean data
• Review the existing stored procs. take stock of the redundancies and provide optimized solutions.
• Reduce and eliminate all the manual ways of working on preparing data extracts, and data requests and move towards rendering data through one single curated data layer
• Lay out the policies of how to best leverage the dev/test and prod instance    
• Analyse and partner with DQ specialists in framing out DQ rules
• Automate deployment process through CICD best practices, minimizing bugs/errors and maximizing operational efficiency
    

Relevant Experience and Qualifications :

• 8 - 12 years of experience working in core data engineering projects 
• 6+ years experience in handling large datasets, implementing coding standards troubleshooting and building data processing framework
• 6+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.)
• 6+ work exp. across multiple ETL tools, across big data platforms (Oozie,HDFS, Spark, Hive, etc)  and ANSI SQL Standard databases (Teradata, SQL Server)
• Exposure working with Jenkins, Unix shell scripting
• 4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP)  
• Experience scaling up, mentoring and managing a team of data engineers
• Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines
• BSc/Btech computer science or engineering or any other relevant technical fields
  
  
  Great to have Experience and Qualifications
   
  
  
• Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools
• Understanding of Fintech and online identity verification business and products
• Proven ability to lead others without direct authority in a matrixed environment
• Proven ability with strong verbal and written communication skills effectively demonstrated to establish confidence/influence C-suite leadership    
• Ability to understand and translate business requirements into data and technical requirements

Key Characteristics and Attitudes :

• Energetic and eager to learn ● Follows SOPs and instructions
• World Class customer service ● Collaborative and collegiate
• Urgency and ownership ● Humble and helpful
• Teachable. Resilient. ● Positive attitude and proactive

@Work :Our newest office, Jumio is in Prestige Tech Park III and growing fast. A hub of technical excellence with Machine Learning enablement at its core the engineers and team are committed to learning and innovation. They set the bar high. In a recent culture survey these attributes were rated particularly highly in Jumio’s Indian offices

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

Equal Opportunities:

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. 

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Applicant Data Privacy

We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.