8–10 years of experience:

Roles and Responsibilities:

- Own the technical architecture for data analytics and visualization applications, with Python as the primary stack
- Lead, mentor, and grow a team of engineers across maintenance, new feature builds, and analytics initiatives — including hiring input and performance guidance
- Make key technology and design decisions : storage strategy, service boundaries, and tooling choices
- Set and enforce coding standards, review practices, and technical best practices across the team
- Proactively identify systemic technical risks and resolve escalations; act as the primary technical point of contact across teams and geographies
- Drive the agile process for your team — sprint planning, estimation, and ensuring deliverables meet quality and timeline commitments
- Own projects end-to-end: from conceptualization and technical design through execution, delivery, and post-launch monitoring
- Translate ambiguous business requirements into clear technical specifications for the team to execute against
- Design, review, and optimize complex SQL queries and data-intensive operations at scale
- Guide the design of data visualization outputs and analytics deliverables for both technical and executive stakeholders
- Report project and team progress to senior leadership, with clear visibility into risks and trade-offs
- Represent the team in cross-functional collaboration with data science, product, and infrastructure stakeholders

Skills

Primary

- Expert-level Python, with deep experience in Pandas for large-scale data manipulation (NumPy a plus)




- Practical experience with NLTK or comparable NLP libraries for text analytics
- Strong AWS experience across compute, storage, and data services

Data & Querying

- Expert-level SQL and MySQL; able to design, review, and optimize complex queries at scale
- Proven experience handling data-intensive, high-volume operations and diagnosing performance bottlenecks

Visualization & Web

- Familiarity with visualization libraries (Matplotlib, Plotly, Seaborn) or BI tooling
- Working knowledge of JavaScript, Ajax, jQuery, XML, XHTML, HTML5, CSS
- Experience integrating and architecting around third-party web services and APIs

Automation & Systems

- Strong Shell scripting for automation and operational tooling
- Excellent verbal and written communication — able to represent technical decisions to non-technical and senior stakeholders

Leadership

- Demonstrated experience leading and mentoring engineering teams
- Experience owning technical roadmaps and making architecture-level trade-off decisions
- Track record of running or significantly shaping code review culture

Desired Candidate Profile

- Master's Degree (B.Tech/MCA) or equivalent practical experience
- 8–10 years of experience, with a significant portion in a technical leadership or lead-developer capacity
- Strong programming, debugging,



and systems-level problem-solving skills
- Proven ownership of code review processes and engineering standards, not just participation in them
- Strong leadership qualities — able to set direction, delegate effectively, and be accountable for team output
- Experience managing or closely coordinating with geographically distributed teams
- Comfortable operating with ambiguity and making calls when specs are incomplete

Positive to Have

- Understanding of cloud-native and distributed systems design at an architectural level
- Knowledge of workflow orchestration tools (Airflow, Zookeeper, or similar)
- Experience with big-data tools (Spark, Dask) for scaling beyond single-node Pandas workflows
- Prior experience as a technical lead or architect in a data/analytics-heavy organization

Values We're Looking For

- Ownership at scale — accountable not just for their own output, but for the team's collective delivery and quality
- Judgment under ambiguity — makes sound architectural and prioritization calls without waiting for perfect information
- Mentorship as a core function — actively grows junior and mid-level engineers, not just reviews their work
- Pragmatism over perfectionism — chooses the simplest solution that meets the bar, and can defend when added complexity is actually justified
- Transparent communication — surfaces risks and trade-offs early, to the team and to leadership, rather than after the fact
- Curiosity and currency — stays ahead of tooling and practice shifts (e.g., LLM-assisted workflows) and brings relevant ones into the team

📌 Python Lead (Hyderabad)
🏢 Adroit India
📍 Hyderabad