Job description
We’re hiring a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics and business intelligence. The role includes developing ETL/ELT processes, integrating data from multiple sources, optimizing database performance, and ensuring data quality and reliability. Experience with Python, SQL, Apache Spark, Airflow, cloud platforms (AWS, GCP, or Azure), and databases such as PostgreSQL, MySQL, or Snowflake is preferred.
Candidates should have strong problem-solving skills, attention to detail, and good communication, along with the ability to work remotely. Only candidates who submit an updated resume along with a Loom video or audio introduction will be considered
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC+0, UTC+1, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.