8 - 10 years of experienceRoles 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.Positive 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. (ref:hirist.tech)

📌 Python Lead - Data Analytics & Visualization (Hyderabad)
🏢 Adroit Innovative Solutions
📍 Hyderabad