Data Engineering Lead
1 day ago
Job Description:
Tiger Analytics is a leading global AI and analytics firm, helping Fortune 1000 companies overcome their toughest challenges. We offer comprehensive AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale.
We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
We work with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare, with many of our team leaders ranking in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
About the Role:
You will be a key member of the teams working on end-to-end AI and analytics solutions being built for our clients. While 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.
As the person responsible for the overall success of the program, you will drive problem discovery, scoping, program management, delivery, 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, coordinate program delivery, measure and articulate 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.
Required Skills & Experience:
- Program delivery experience in multiple data systems (cloud / on-premise, classical RDBMS / big-data / NoSQL)
- Proven experience in the delivery of Azure cloud programs such as Azure Data & Analytics platforms – Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Python/pySpark, ADLS, Azure Event Hub, Azure Streaming Analytics, Azure Purview, and Azure Power BI
- 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 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
- 10-15 years of relevant experience, some of which has been in hands-on development
- Techno-functional background preferred (Engineering + MBA)
Perks of Working with Tiger Analytics:
- LATEST TECHNOLOGY: You will get to work on the most advanced technologies like machine learning and artificial intelligence.
- GLOBAL EXPOSURE: We work for leading global brands. You will get exposure to global markets while working with international clients.
- LEARNING & DEVELOPMENT: We partner with a host of the biggest learning platforms. You will be encouraged to learn and grow.
- GROWTH MINDSET: We encourage a growth mindset and believe that learning never stops. There is no pressure on you to be a master of everything.
- ADDITIONAL BENEFITS: Health insurance (self & family), virtual wellness platform, fun, and knowledge communities.
We believe in equal opportunities for all and invite you to come join us as we build the world's best AI and advanced analytics team. Your designation will be commensurate with expertise and experience. The estimated salary for this position is around $150,000-$200,000 per annum, depending on location and qualifications.
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