Technical Skills and Tools Questions

A concise but comprehensive presentation of a candidate's core technical competencies, tool familiarity, and practical proficiency. Topics to cover include programming languages and skill levels, frameworks and libraries, development tools and debuggers, relational and non relational databases, cloud platforms, containerization and orchestration, continuous integration and continuous deployment practices, business intelligence and analytics tools, data analysis libraries and machine learning toolkits, embedded systems and microcontroller experience, and any domain specific tooling. Candidates should communicate both breadth and depth: identify primary strengths, describe representative tasks they can perform independently, and call out areas of emerging competence. Provide brief concrete examples of projects or analyses where specific tools and technologies were applied and quantify outcomes or impact when possible, while avoiding long project storytelling. Prepare a two to three minute verbal summary that links skills and tools to concrete outcomes, and be ready for follow up probes about technical decisions, trade offs, and how tools were used to deliver results.

HardTechnical

26 practiced

Design an incremental ETL pipeline that ingests billions of rows per day with minimal latency and minimal duplicate processing. Discuss choice of CDC tools, watermarking, idempotent writes, checkpointing, and how to guarantee exactly-once or at-least-once semantics in your chosen stack.

EasyTechnical

33 practiced

Using the following simplified schema, write a SQL query to return the top-selling product per category by revenue for the last calendar quarter, breaking ties by units sold.

products(product_id, name, category)sales(sale_id, product_id, units_sold, unit_price, sale_date)

Return columns: category, product_id, product_name, revenue, units_sold, rank_in_category.

EasyTechnical

28 practiced

You discover multiple NULLs and duplicate rows in a key fact table used by dashboards. Describe a reproducible step-by-step approach you would take to identify root cause(s), remediate current dashboards, and prevent recurrence. Include both technical checks and stakeholder communication steps.

MediumTechnical

29 practiced

Two critical systems produce related events with different timestamps and slightly different entity IDs. Describe a robust approach to join/merge these datasets for reporting (deduplication rules, fuzzy matching, event matching by time window, resolving many-to-many mapping). Provide concrete SQL or pseudocode patterns you might use.

MediumTechnical

31 practiced

Explain how you would structure a LookML project and Git workflow for a team of 6 analysts delivering shared Explores and dashboards. Cover branching strategy, code review, environment separation (dev/stage/prod), and how you'd enforce semantic consistency for metrics.

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