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 explicit 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

- 5–10 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

📌 Python Lead - JMD (Hyderabad)
🏢 GlobalData
📍 Hyderabad