Job Description
ROLE: Sr AWS Databricks Data Engineer
YEAR OF EXP: 6 + YEARS
LOCATION: MUMBAI
• Min. 5 yrs on role Software Engineering + Backend Eng. (one of languages: Python, Java, Scala, Rust - with focus on Python today)
• practice with high quality codes (unit testing, integration testing, others) + code metrics
• fast discovery what is in new repository code, asking right technical questions about codebase and code quality, CI/CD as a general rule of work (automatic tasks, instead of manual)
• Min. 5 yrs on role near "data" subject like Data Engineer or Integrations Engineer
• strong understanding data pipelines in Apache Spark, Apache Airflow and similar orchestrators
• understanding on mid. level Databricks or other modern platforms BigData solutions inside (i.e. data catalogs, computes engines, SQL engines, observability layers, etc.)
• strong focus on delivery data pipelines on high quality from data product delivery perspective
• practical exp. with data streams and Petabytes scale
• Min. 1 yr with exp. near data integrations (data pipelines, connection for diff. types of data sources and sinks)
• Basic AWS knowledge (Lambda, SQS, CloudWatch, Powertools)
• Soft skills for discussion with vendors/partners about possible solutions/limits/properties in technical integrations and different data architectures
Strong technical arguments in technologies in data integrations and BigData areas (focused on Open Source tools)
💡 Quick Summary
Seeking a career-building opportunity? The AWS Databricks position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
