Explore our latest articles, tutorials, and insights on data engineering, career growth, and interview preparation.
Gowtham Potureddi
COALESCE in SQL deep-dive — left-to-right first-non-NULL evaluation, LEFT JOIN default values for analytics and BI, COALESCE vs CASE / ISNULL / NVL portability, and pitfalls (NULL semantics, type coercion, empty strings, NULLIF) with worked examples.
Gowtham Potureddi
Facebook (Meta) data engineering interview prep — Python array sum-formula and XOR for missing-number, array + math + bit + string parser for arithmetic formula evaluation, SQL EXISTS month-over-month MAU retention, and CTE + self-join for friend recommendations and post-hiatus aggregation, with worked examples.
Gowtham Potureddi
Square (Block) data engineering interview prep — SQL ranking + aggregation for top-N invoice senders, date-function cohort analysis for 30-day-post-signup activity, window functions (AVG OVER, ROW_NUMBER OVER) for monthly aggregates and duplicates, and payment-flow COUNT DISTINCT with status filters, with worked examples.
Gowtham Potureddi
Snowflake data engineering interview prep — Python array + set validation for SET card games, hash-table sliding-window for maximum substring occurrences, SQL window functions (LAG/LEAD/AVG OVER PARTITION BY), and Snowflake architecture (micro-partitions + clustering + Time Travel), with worked examples.
Gowtham Potureddi
Robinhood data engineering interview prep — Python hash-table dict counting for stock purchases, SQL inner join + GROUP BY for trade aggregations, window-function LAG for daily volume change, and HAVING-based threshold checks for notional limits, with worked examples.
Gowtham Potureddi
Crack the Bloomberg data engineering interview with worked Python two-pointer, abstract-class, and SQL window-function solutions, plus the DE process.
Gowtham Potureddi
Crack the Rivian data engineering interview with worked SQL aggregation, JOIN, and vanilla Python string-padding solutions, plus the full Rivian DE process.
Gowtham Potureddi
Crack the Figma data engineering interview with worked SQL window-function and Python string-parsing solutions, plus the full Figma DE process.
Gowtham Potureddi
ackerRank data engineering interview prep — JOINs, multi-table aggregation, GROUP BY/HAVING, window functions, CASE on hierarchies, scalar subqueries with strict output formatting, and PySpark dataframe transforms — with worked solutions, traces, and engine-portable patterns.
Gowtham Potureddi
Cisco data engineering interview prep — Python dict-comprehension key-value inversion, status-filter dicts, functools-wrapped decorators with perf_counter timing, and greedy comparator-sort for the maximum concatenated substring, with worked examples.
Gowtham Potureddi
Intuit data engineering interview prep — SQL window-function ranking over aggregates, JOIN + subquery for same-salary employees, SQL regex for numeric authorization codes, Python regex for the largest odd substring, and Python Counter for country-count rollups, with worked examples.
Gowtham Potureddi
Shopify data engineering interview prep — pure-SQL merchant analytics with monthly and daily session counts, days-to-first-session JOINs, 7-day rolling-average window functions, and UTM source extraction via regex, with worked examples.
Gowtham Potureddi
PayPal data engineering interview prep — Python list comprehensions over arrays, type-operation semantics, defaultdict aggregation for catering reports, set-intersection for recommendations, and bipartite graph validation for seating arrangements, with worked examples.
Gowtham Potureddi
Hyper data engineering interview prep — pure-SQL retail analytics with aggregation, monthly date_trunc revenue, multi-table joins, partitioned ROW_NUMBER for top-seller-per-state, HAVING completeness checks, and LAG-driven weekly growth tracking, with worked examples.
Gowtham Potureddi
Lyft data engineering interview prep — Python multi-stream queues, autocomplete hash tables, two-pointer array intersection, binary-search Nth-missing-integer, plus SQL time-series and consecutive-day window functions with worked examples.
Gowtham Potureddi
Stripe data engineering interview prep — Python tiered pricing with sort + greedy, transaction-fee aggregation, idempotent event apply, bounded producer/consumer queues, event-time watermarks, end-to-end ETL, and SQL JSONB key extraction with worked examples.
Gowtham Potureddi
Oracle data engineering interview prep—Python stacks, hash tables, JSON, SQL aggregation, self-joins, ranking, date functions with worked examples.
Gowtham Potureddi
Salesforce data engineering interview prep — SQL subqueries, retention cohorts, self-joins, window functions for MoM growth, aggregation, hash-table design, and Python closures with worked examples.
Gowtham Potureddi
Atlassian data engineering interview prep—SQL window functions, ranking, gaps-and-islands, moving averages, time-series, plus Python stacks and binary search.
Gowtham Potureddi
Techpath data engineering interview prep—Python fundamentals, queue simulation, hash-table set ops, conditionals, error handling, file I/O.
Gowtham Potureddi
Walmart data engineering interview prep—SQL string parsing, time-series rollups, anti-joins, Python hash tables, BFS pathfinding, and dynamic programming.
Gowtham Potureddi
Databricks data engineering interview prep—Python algorithms, sweep-line intervals, hash tables, binary search, bit manipulation, DP, Morris traversal.
Gowtham Potureddi
Netflix data engineering interview prep—SQL window functions, anti-join, set operations, Python sliding window, streaming, deque, ETL with checkpoints.
Gowtham Potureddi
Google data engineering interview prep—SQL self-joins, recursive CTEs, aggregation, Python hash maps, pandas, decorators, and file I/O with worked examples.
Gowtham Potureddi
Microsoft data engineering interview prep—SQL, Python, windows, ETL, and data modeling with worked examples; practice links in the article.
Gowtham Potureddi
Airbnb data engineering interview prep—SQL, joins, windows, sessionization, Python, and data modeling with worked examples and practice links.
Gowtham Potureddi
Uber data engineering interview questions: SQL, Python, modeling, pipelines—practice with Uber-tagged problems on PipeCode.
Gowtham Potureddi
ByteDance data engineering interview: SQL & Python patterns, sub-topics, original Q&A, and ByteDance company hub links on PipeCode.
Gowtham Potureddi
Amazon data engineering interview prep : SQL, joins, windows, dates, Python patterns, and dimensional modeling with worked examples
Gowtham Potureddi
DoorDash data engineering interview questions: SQL, Python, and modeling patterns with practice links to 63+ DoorDash-tagged problems on PipeCode.
Gowtham Potureddi
Meta data engineering interview questions: top SQL & Python topics from the Meta practice set, explained for beginners, with sample problems and solutions.
Gowtham Potureddi
Data engineering interviews test Python on ETL, files, and speed. Five skills: error handling, context managers, I/O, performance, batch vs stream.
PipeCode Team
Master 30 real SQL interview questions asked at FAANG companies with full solutions. Practice DE SQL problems interactively.
Harry Peter
Master your 2026 data engineering interview with 50 real questions from Meta, Amazon, Google and more.
Nick
A definitive guide to the 5 core skills required for modern Data Engineering. Learn how Extraction, ETL, Warehousing, Delivery, and Orchestration fit together to build your career.
