Big Data Engineer

ABOUT US: Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world's top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people's lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. Key Responsibilities Build, run, and own ETL pipelines on EMR (Spark) orchestrated in Airflow — including their monitoring, alerting, and recoveryWrite SQL and Python for data ingestion, transformation, and the datasets that analysts and dashboards depend onOwn data quality for what you build — run the checks before you ship and add new ones where they're missing; confirm the results are correct, not only that the job completedBuild and extend the data models for your area: fact and dimension tables following the team's layering conventionsKeep your jobs efficient — watch runtime and cost, and raise slow or expensive jobs rather than living with themUse and extend the team's shared patterns and templates, and turn work you find yourself repeating into something automated or reusableWork with analysts and business stakeholders to turn requests into datasets that actually get used Requirements REQUIRED QUALIFICATIONS 2-4 years of hands-on data development in a production environment — pipelines that run on a schedule with real downstream consumers, that you were responsible for including when they brokeStrong SQL: window functions, complex multi-table joins, incremental loads, and the ability to work out why a query is slowPython for production ETL and tooling (PySpark, pandas, boto3) — code that runs on a schedule, not only notebooksHands-on experience with Spark on a cloud platform: AWS EMR, Databricks, Glue, or equivalentProduction experience with a scheduler, Airflow preferred: DAG design, dependencies, retries, and reruns that are safe to repeatWorking understanding of dimensional modeling: fact and dimension tables, star schema, and warehouse layeringComfortable working on AWS (S3 with Parquet / ORC), Linux, and Git — and comfortable picking up new tools as the platform evolvesEffective use of AI to solve data problems — using it to move faster on SQL, debugging, and unfamiliar schemas, with the judgment to catch output that looks right but isn'tBachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience Preferred Qualifications Data ingestion or CDC tooling: DataX, Sqoop, Debezium, Fivetran, or similarAn OLAP / MPP engine: StarRocks, Doris, ClickHouse, Redshift, or similarSpark performance work: partitioning, shuffle, skew, and memory tuningAWS cost optimization: EMR instance sizing and Spot strategy, S3 lifecycle policiesLakehouse formats (Iceberg, Hudi, Delta), streaming (Kafka, Flink), dbt, or a data quality frameworkQuickSight or another BI tool: dataset and permission designSelf-directed learning: a project, an open-source contribution, or a tool you picked up on your own and put to real use Benefits Base Salary Range: $100 - 120K Free snacks and drinksFully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401K fundsBi-annual reviews, and annual pay increasesHealth and wellness benefits, including free gym membershipQuarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.