Solutions Engineer - Data Engineering (Hyderabad)

Astronomer, Inc.

Job Overview

Location

Hyderabad

Job Type

Full-time

Full Job Description

📋 Description

• As a Solutions Engineer - Data Engineering, you will be part of the Global Services Delivery Team and will be involved in the delivery of the various use cases in which Airflow is implemented across our customers.
• These organizations range from seed-stage startups to Fortune 500 enterprises.
• Although these organizations are in different phases of their data journey, they all can benefit from your expertise as a Solutions Engineer to implement Apache Airflow in a manner that follows best practices and allows continued growth.
• In this role, you will come to have a deep understanding of both Apache Airflow and Astronomer Products.
• Every Solutions Engineer will grow to become an Airflow expert and a trusted advisor to organizations looking to put their data in motion.
• You'll be able to speak to and deliver solutions around Apache Airflow and the Astronomer platform.
• You'll interact with customers and partners to ensure successful Airflow implementation post-sales.
• You'll be a trusted advisor and help architect data pipelines across all types of environments and use cases.
• Last but not least, you'll have the opportunity to engage with the Apache Airflow project, a thriving open-source community with thousands of contributors.
• Maintain and continuously improve your technical expertise.
• Work with customers to educate and guide them regarding Airflow best practices.
• Perform Airflow code refactoring assessments as a trusted expert for new and existing customers.
• Architect and implement scalable data engineering frameworks and solutions using Apache Airflow for Astronomer customers.
• Familiarity with AI-assisted development practices to accelerate coding, testing, documentation, troubleshooting, and solution prototyping while maintaining engineering quality, security, and human oversight.
• Act as a liaison by collecting feedback and identifying Airflow/Astronomer improvements through client interactions and relaying these recommendations back to the Product.
• Review and optimize customer data workflows and Airflow system configurations for improved performance.
• 3-5 years of data-engineering experience, ideally working with Apache Airflow in production environments.
• Experience creating DAGs, writing Python, and building Airflow custom operators and hooks.
• Excitement about implementing ETL/ELT pipelines, knowledge of applying Data transformations, optimizing and monitoring data pipelines.
• Experience with related market products such as Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud, ETL Technologies or other analytics solutions.
• Empathetic, driven and team-oriented.
• Great prioritization skills and ability to execute on customer-facing activities.
• A strong verbal and written communicator interacting with assigned customers over a variety of mediums (slack, email, knowledge transfer, and pair programming sessions).
• Highly data-driven and intrigued by the challenge of delivering an awesome Astronomer experience to hundreds of customers.
• Bonus points if you have:
• Experienced with Production implementation of ETL/ELT processes using Modern Data Stack.
• Experience building and maintaining CI/CD pipelines.
• Experience working on short and long-term Customer engagements.
• Experience with infrastructure tools like Docker and Kubernetes.

🎯 Requirements

• 3-5 years of data-engineering experience, ideally working with Apache Airflow in production environments.
• Experience creating DAGs, writing Python, and building Airflow custom operators and hooks.
• Excitement about implementing ETL/ELT pipelines, knowledge of applying Data transformations, optimizing and monitoring data pipelines.
• Experience with related market products such as Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud, ETL Technologies or other analytics solutions.
• Empathetic, driven and team-oriented.
• Great prioritization skills and ability to execute on customer-facing activities.
• A strong verbal and written communicator interacting with assigned customers over a variety of mediums (slack, email, knowledge transfer, and pair programming sessions).
• Highly data-driven and intrigued by the challenge of delivering an awesome Astronomer experience to hundreds of customers.

🏖️ Benefits

• Hybrid work model with at least 3 days per week at the office in Hyderabad.
• Opportunity to engage with the Apache Airflow project, a thriving open-source community with thousands of contributors.
• Bonus points for experience with Production implementation of ETL/ELT processes using Modern Data Stack, experience building and maintaining CI/CD pipelines, experience working on short and long-term Customer engagements, and experience with infrastructure tools like Docker and Kubernetes.

Skills & Technologies

Python

AWS

Azure

GCP

Docker

Hybrid

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Astronomer, Inc.

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About Astronomer, Inc.

Astronomer, Inc. provides Apache Airflow as a managed cloud service and enterprise platform. The company maintains the open-source workflow orchestration project, offers commercial support, and delivers a control plane that lets data teams deploy, monitor, and scale directed acyclic graphs across Kubernetes clusters. Its product suite includes Astro, a fully hosted Airflow environment with role-based access, CI/CD hooks, and usage observability. Customers use the software to schedule Python and SQL data pipelines, connect on-premise and cloud databases, and ensure reliable data delivery for analytics and machine-learning workloads. Astronomer is headquartered in Cincinnati, Ohio, and serves global enterprises.

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