Python Lead

TechStar Group; Hyderabad; Presencial; INR 3.500.000 - 6.500.000; Tempo integral

Resumo da vaga

TechStar Group in Hyderabad is seeking a Lead Python data analytics architect to own the data stack and visualization platforms. You will guide a team of engineers through feature development, maintenance, and analytics initiatives, with a strong emphasis on scalable architectures and high-quality code.

The role requires 8-10 years of technical leadership, deep Python/Pandas expertise, NLP experience, and solid AWS and SQL skills.

Qualificações

• Strong Python expertise with Pandas for large-scale data manipulation.
• Experience with NLP libraries like NLTK for text analytics.
• Hands-on AWS experience across compute, storage, and data services.
• Advanced SQL and MySQL performance tuning and optimization.
• Ability to translate business requirements into technical specs.

Responsabilidades

• Own the technical architecture for data analytics and visualization applications.
• Lead, mentor, and grow a team of engineers.
• Define storage strategy, service boundaries, and tooling.
• Set coding standards and code review practices.
• Drive agile processes including sprint planning and delivery.
• Translate requirements into clear technical specs and design.
• Oversee end-to-end projects from concept to post-launch.
• Interface with data science, product, and infrastructure teams.

Conhecimentos

Python

Pandas

NLTK

AWS

SQL

Matplotlib

Plotly

JavaScript

HTML5

Shell scripting

Formação

Master's Degree (B.Tech/MCA)

Ferramentas

Airflow

Zookeeper

Spark

Descrição da vaga

Role : Lead Python
Hyderabad Location & 5 days WFO.
2nd level is F2F Interview.

Job Description:-

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 Pandasfor large-scale data manipulation (NumPy a plus)
• Practical experience with NLTKor 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

Good 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