Job opening For Python Lead Role @GD Office - HYD

Globaldata; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

GlobalData is seeking a Lead Python Developer to own the technical direction of our data analytics and visualization function in Hyderabad. This hands-on leadership role combines system architecture, standards setting, mentoring, and delivery accountability, while remaining close to code to unblock difficult problems.

You will lead architecture for data analytics pipelines, mentor engineers across teams, and drive agile delivery with a focus on quality and scalability.

Qualifications

• Master's degree or equivalent practical experience in CS/EE or related field.
• 8–12 years of professional software engineering experience with a track record in leading teams.
• Strong programming, debugging, and systems‑level problem‑solving skills.
• Experience owning code reviews, engineering standards, and architecture decisions.
• Ability to mentor engineers across distributed teams and geographies.

Responsibilities

• Own the technical architecture for data analytics and visualization applications with Python.
• Lead and grow a team of engineers, including hiring input and performance guidance.
• Make architecture and design decisions: data pipelines, storage, services boundaries.
• Set coding standards, reviews, and best practices across the team.
• Drive agile processes, sprint planning, estimation, and timely delivery.
• Translate business requirements into clear technical specs for execution.
• Design and optimize SQL queries and data workflows at scale.
• Architect asynchronous data workflows using RabbitMQ/Redis and containerization with Docker/Kubernetes.

Skills

Python

Pandas

NLP

Docker

Kubernetes

Redis

RabbitMQ

AWS

Django

Education

Master's Degree or equivalent

Tools

Docker

Kubernetes

Redis

RabbitMQ

Django

AWS

Job description

. Hello,

Greetings from GlobalData!!!

Urgent job openings for Python Lead Role.

About the Role

We're hiring a Lead Python Developer to own the technical direction of our data analytics and visualization function. This is a hands‑on leadership role you'll architect the systems, set engineering standards, mentor the team, and remain close enough to the code to unblock hard problems, while also being accountable for delivery, quality, and team growth.

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: data pipeline architecture, 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
• Architect asynchronous and distributed data workflows using message brokers (RabbitMQ, Redis)
• Define and oversee containerization (Docker) and orchestration (Kubernetes)strategy for deployment
• 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

Primary Skills

• 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 hands‑on experience with Docker and Kubernetes, including production orchestration decisions
• Solid working knowledge of Redis and/or RabbitMQ for caching, queuing, and async workflows
• Strong AWS experience across compute, storage, and data services
• Django experience (good to have)

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
• 8–12 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

• Exposure to LLMs and Generative AI tools (prompt engineering, evaluation frameworks, applied use in analytics workflows)
• Experience with vector databases or embedding‑based search
• Understanding of cloud‑native and distributed systems design at an architectural level
• Knowledge of workflow orchestration tools (Airflow, Zookeeper, or similar)
• Familiarity with CI/CD pipelines and infrastructure‑as‑code
• Exposure to MLOps practices, feature stores, or data versioning
• 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.

Thanks & Regards

Salim

(Human Resource)