Job Description
Required Technical Skills
Core Platforms
- Databricks — Unity Catalog, Delta Live Tables, Databricks SQL, Spark optimization, job orchestration
- Tableau — calculated fields, LOD expressions, data blending, published data sources, Tableau Server/Cloud
- Python — pandas, NumPy, PySpark, scikit-learn, SQLAlchemy, Airflow/Prefect integration
Large Language Models (LLMs)
Hands-on familiarity with leading LLMs and their APIs, including but not limited to:
- SemiKong (semiconductor-domain LLM) — preferred differentiator for this role
- OpenAI GPT-4 / GPT-4o
- Anthropic Claude (claude-3 / claude-sonnet family)
- Google Gemini (1.5 Pro / Flash)
- Meta LLaMA 3 / LLaMA 3.1
- Mistral / Mixtral
- Cohere Command R+
- Falcon, Phi-3, and other open-weight models
- Prompt engineering, RAG architecture, LangChain / LlamaIndex for applied analytics use cases
Data & SQL
- Advanced SQL — window functions, CTEs, query optimization across Databricks SQL, Snowflake, or similar
- Data modeling concepts — star/snowflake schemas, dimensional modeling
- Experience with large-scale structured and semi-structured datasets (JSON, Parquet, Delta format)
Additional Technical Exposure (Preferred)
- Cloud platforms — AWS (S3, Glue, Redshift), GCP (BigQuery), or Azure (Synapse, ADLS)
- Version control — Git/GitHub for script management and collaboration
- Basic ML model evaluation and feature engineering in Python
- Familiarity with CI/CD pipelines for analytics/ML assets
Responsibilities
Key Responsibilities
- Design, build, and maintain end-to-end data pipelines and analytical workflows on Databricks (Delta Lake, Spark, MLflow).
- Develop interactive dashboards and visual reporting layers in Tableau; translate findings into executive-ready narratives.
- Write production-quality Python scripts for data ingestion, transformation, automation, and model integration.
- Collaborate with data engineers, product managers, and business stakeholders to define KPIs and data requirements.
- Apply LLM-powered capabilities (e.g., SemiKong, GPT-4, Claude, Gemini, LLaMA, Mistral) to augment analytics workflows and automate insight generation.
- Conduct exploratory data analysis (EDA), statistical modelling, and root-cause analysis on large-scale datasets.
- Ensure data quality, governance, and lineage across analytical assets.
- Mentor junior analysts and contribute to the team's data literacy initiatives.
- Participate in cross-functional sprint planning and agile ceremonies as a technical SME.
Qualifications
Experience & Qualifications
- 10+ years of professional experience as a Data Analyst, Analytics Engineer, or closely related role.
- Proven track record delivering analytical projects in semiconductor, manufacturing, or hi-tech industry preferred.
- Strong portfolio demonstrating Databricks and Tableau work at scale.
- Demonstrated hands-on usage of LLMs in a professional or research context — not just theoretical knowledge.
- Experience working in agile / scrum teams within large enterprise environments.
- Bachelor's degree (or higher) in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field.
Professional Competencies
- Strong business acumen — ability to translate data findings into clear, actionable recommendations for non-technical stakeholders.
- Excellent verbal and written communication skills in English.
- Self-starter mindset; comfortable with ambiguity and evolving requirements.
- High attention to detail and commitment to data accuracy and integrity.
- Collaborative team player with the ability to work across global time zones as needed.
Work Conditions
AttributeDetail
Work Location Applied Materials office, Bangalore — on-site every day
Remote/Hybrid Option None. Full on-site presence is mandatory.
Engagement Model Contract (duration TBD based on project scope)
Notice Period Immediate joiners preferred / negotiable
About Us
At Zensar, we're
experience-led everything. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose:
Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is
ONE with Client - a set of four core values that reflect who we are and how we work:
One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we're a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
