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Python Lead - JMD

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Onsite

Python Lead - JMD

Globaldata

Python Lead - JMD

Skills

SQL QueriesNodePythonData ScienceData VisualizationHTMLNumPypandasMySQLData AnalysisAWSNLP / Natural Language ProcessingApache AirflowJavascript

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹2,000,000 – ₹3,000,000 / year

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

8 September 2026

What they need


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
  • 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

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