
Senior Data Engineer
18 hours ago
Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team first mindset.
We're Great Place to Work-CertifiedTM. Working at Tiger Analytics, you'll be at the heart of an AI revolution.
About the role
As a key member of our teams working on end-to-end AI and analytics solutions, you will drive problem discovery, scoping, program management, delivery etc. Your primary focus will be on the data engineering and application engineering components of the overall solution. You will collaborate with internal data science teams for the ML aspects.
You will lead requirements elicitation using a combination of business acumen and technology understanding, translate solutions requirements to technical architects, review solution design & estimation for conformity with client requirements. You will coordinate program delivery (communicating updates, bottlenecks, risks, delays etc) and measure and articulate the value of solutions developed to help drive solution adoption by business teams.
This role involves a combination of hands-on contribution, customer engagement and team management.
Key Responsibilities:
- Drive problem discovery, scoping, program management, delivery etc.
- Lead requirements elicitation using a combination of business acumen and technology understanding
- Translate solutions requirements to technical architects
- Coordinate program delivery (communicating updates, bottlenecks, risks, delays etc)
- Measure and articulate the value of solutions developed to help drive solution adoption by business teams
Required Skills and Qualifications:
- Program delivery experience in multiple data systems (cloud / on-premise, classical RDBMS / big-data / NoSQL)
- Project planning and tracking in agile and waterfall paradigms
- Experience with different source systems (flat-files to ERP systems to real-time sources) and their impact on the design, functioning, and maintenance of data systems
- Experience working on programs with significant application engineering and development components
- (Preferable) exposure to MLOps/DevOps in the context of cloud-based predictive analytics solution deployment
- Team management and client stakeholder management
- 8-14 years of relevant experience, some of which have been in hands-on development
Benefits:
- LATEST TECHNOLOGY: Get to work on the most advanced technologies like machine learning and artificial intelligence.
- GLOBAL EXPOSURE: Work for leading global brands and get exposure to global markets while working with international clients.
- LEARNING & DEVELOPMENT: We partner with a host of the biggest learning platforms. Encouraged to learn and grow.
- GROWTH MINDSET: Encourage a growth mindset and believe that learning never stops.
- ADDITIONAL BENEFITS: Health insurance (self & family), virtual wellness platform, fun, and knowledge communities.
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