Engineering Specialist
Listed on 2025-12-25
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IT/Tech
Data Engineer, Cloud Computing, Data Analyst, Data Science Manager
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement.
We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.
Our most valuable asset is our people.
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
What you’ll do:
- Stay current on latest technology platform offerings, emerging technologies and its domain-specific applications, industry trends, and solution patterns.
- Contribute to developing POVs and conducting market scans for strategic decision-making, drafting CXO memos, and guiding project teams on best practices and implementation patterns.
- Leverage deep technical expertise to design and implement robust solutions that meet clients’ objectives.
- Effectively contribute to BD pursuits spanning solution approach & alternatives, estimation, and assist in client meetings to elaborate on tech-focused topics, collaborating with client account teams.
- Hands-on experience with tech & consulting architectural bent of mind to help solve project-based problems with experience in building and/or automating data pipelines, orchestration, ingestion processes.
- Lead a team of developers to enable effective data engineering, data analysis, and reporting, leveraging expertise with platforms such as Databricks, Snowflake, PySpark, DBT, and others.
- Explore beyond core data platform to understand aspects like application integration, process automation, API management, and others to enable gradual evolution into enterprise architecture role.
- Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews, and performing code/script reviews of senior engineers in the team.
- Mentor junior practitioners through coaching & project-level guidance.
- Collaborate closely with clients to understand their challenges/goals, quality metrics, IT standards, and deliver outcomes aligned to client expectations.
- Effectively communicate technical concepts and solutions with client/project stakeholders.
What you’ll bring:
- Bachelor’s or master’s degree in computer science, Information Technology, or related field.
- Minimum 6-8+ relevant industry experience.
- Deep understanding of engineering principles, ability to solve complex problems, and guide the team in technical decision-making, while staying updated with industry advancements. Strong experience working for consulting organizations supporting Architecture and design capabilities to implement end-to-end solutions using modern technologies.
- Exposure/familiarity with recent developments in platforms like Databricks, Snowflake, AWS, and/or AI/ML platforms like AWS Bedrock, Databricks Mosaic, Google Gemini, Snowflake Cortex.
- Strong technology leadership skills delivering data solutions using one of the leading data platforms like Databricks, AWS EMR, etc.
- Desirable to have some exposure/experience to IT systems beyond the core data platform understanding aspects like application integration, process automation, and others.
- Desirable to have reasonable domain experience or subject matter expertise that goes beyond typical technology skills, preferably Pharma and life…
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