Data Engineer, Streaming

Who we are

We are bootstrapped and profitable, with a Shopify store and a small warehouse unit in Portland. Orders are packed by hand for two carrier pickups a day, and customer emails go to whoever is free.

What this job is

Portland Apps needs someone who writes solid SQL and Python and treats pipelines like production software. You will be employed through our employer-of-record partner in Bangladesh, with a local contract and salary paid in taka. Our standups are at 9:00 AM Pacific.

What you'll do

• Document datasets and lineage in a catalogue such as DataHub or Atlan.
• Write data quality tests with dbt or Great Expectations and alert on failures.
• Work with analysts to define metrics and fix discrepancies between reports.
• Respond to pipeline failures and backfill data when needed.
• Maintain CI for data code and review pull requests.
• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python.

About you

• 2-4 years of data engineering, or backend work with data at volume.
• Hands-on with an orchestration tool such as Airflow.
• Expert SQL, including window functions and query tuning.

Pluses

• Kafka, Flink or Spark Structured Streaming.
• Dbt Certified Developer or Databricks certification.

Why work with us

Salary: BDT 170,000 - BDT 190,000 pcm

• Monthly internet allowance.
• Equity.
• Two weeks of paid leave at year end.
• Stock options.
• Paid sick days.

Candidates must be eligible to work in Bangladesh.

Start: Flexible.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Portland Apps LLC.