Back
Remote/hybrid, mid-level generalist role and metro location amplify applicant competition.
Data engineering skills are transferable, but Airflow/platform expertise adds moderate domain specificity.
Explicit 3-5 years plus mandatory Airflow and data-engineering skills create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Deliver Apache Airflow solutions post-sales for customers ranging from startups to Fortune 500s, ensuring best practices in implementation.
Become an expert in Apache Airflow and Astronomer Products to act as a trusted advisor and support data pipeline architecture across environments.
Collaborate with customers and internal teams to optimize Airflow workflows, gather feedback, and improve product capabilities.
3-5 years of data engineering experience, ideally with Apache Airflow in production environments.
Proficiency in creating DAGs, Python programming, and building custom Airflow operators and hooks.
Experience with related data platforms and cloud providers such as Cloudera, Databricks, Snowflake, DBT, AWS, Azure, or Google Cloud.
Work Location: Hybrid role requiring at least 3 days/week presence in Hyderabad office.
Strong expertise and hands-on experience with Apache Airflow and data engineering pipeline implementation and optimization.
Comfortable engaging directly with customers to deliver technical guidance and support, including code assessments and workflow improvements.
Capable of collaborating cross-functionally to provide product feedback and work on engineering solutions impacting both internal and external stakeholders.