About the role
as a data engineer, you’ll be part of a small, senior team building a cloud‑native data platform on aws from the ground up — moving raw data through bronze, silver, and gold layers into clean, trusted, analytics‑ready datasets that directly power business decisions. Working closely with the data architect and head of data, you’ll have real visibility into the full data lifecycle: pipeline design, data quality, governance, and delivery. If you want a role where your engineering work is foundational rather than incremental, and where the stack — s3, glue, redshift, dbt, airflow, pyspark — is genuinely modern, this is it.
What you will do
build and maintain scalable etl and elt pipelines across aws services
implement medallion architecture for data ingestion, transformation, and delivery
collaborate with data architects on data modeling and schema design
develop ingestion frameworks for structured, semi-structured, and streaming data
integrate data quality, lineage, and observability into pipelines
work with analytics and business teams to deliver consistent and well‑documented data
write clean and testable python and sql code following best practices
support data governance and security standards including compliance requirements
monitor pipeline performance, troubleshoot issues, and optimize scalability and cost efficiency
must haves
5+ years of experience as a data engineer working with aws data ecosystems
strong experience with aws services (s3, glue, lambda, kinesis, redshift, athena, step functions)
proficiency in python, pyspark, and sql for data transformation
strong understanding of etl design patterns, batch and streaming data processing
knowledge of data modeling (star schema, snowflake schema, incremental processing)
experience with orchestration tools (airflow, step functions, dbt)
understanding of data governance, data quality frameworks, and ci/cd for pipelines
experience working in agile, cross‑functional environments
upper‑intermediate english level
perks and benefits
professional growth: mentorship, techtalks, and personalized growth roadmaps
competitive compensation: usd‑based pay with education, fitness, and team activity budgets
exciting projects: modern solutions with fortune 500 and top product companies
flextime: flexible schedule with remote and office options
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