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 Valuable 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