Sutherland: Airflow Python Developer — Hyderabad, //TS, India

About Sutherland

Sutherland works in business and digital transformation, combining technology services with business-process expertise. Its employer descriptions identify artificial intelligence, automation, cloud engineering and advanced analytics as areas of activity. The company uses products, platforms and service delivery to improve business operations and customer experiences. Its stated approach brings human expertise together with AI, adapting technology and process changes to the needs of the organisation receiving the service rather than providing only a standalone software product.

The position and its setting

Sutherland lists Airflow Python Developer in Hyderabad, //TS, India, under reference REF45851C. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 27 August 2026
• Brands: Sutherland

Responsibilities and work described

• Sutherland is looking for a skilled Python Data Engineer with good experience in Apache Airflow, data pipeline development, and cloud data platforms (Snowflake / AWS)
• The role involves building and orchestrating scalable ETL/ELT workflows and automating data processes across multiple systems
• Development: and maintain data pipelines using Python, Airflow (DAGs), and AWS/Snowflake components
• Building: and automate data ingestion, transformation, and scheduling workflows
• Development: Airflow DAGs including custom operators, sensors, hooks, and manage pipeline monitoring
• Work: on Snowflake-based ELT solutions including data loads, stored procedures, and queries
• Write efficient SQL queries and optimize performance for data transformations
• Collaboration: with cross-functional teams to understand requirements and deliver scalable data solutions
• Troubleshoot pipeline failures and ensure high availability of production workflows

Essential requirements and candidate background

• 2 to 4 years of experience in Python development (advanced scripting and automation)
• 1+ years of experience with Apache Airflow (DAG design, orchestration, scheduling)
• Experience: AWS services (S3, Glue, Lambda, Athena) or equivalent cloud technologies
• Experience: SQL (advanced querying, optimization)
• Experience: ETL/ELT data workflows, data validation, data quality checks
• Good to have Snowflake or any cloud data warehouse (Redshift / BigQuery / Databricks)
• Familiarity: Git / CI-CD, JIRA, or similar tools
• Good communication skills and ability to work independently
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Hyderabad, //TS, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Airflow Python Developer vacancy is not an offer for reference REF45851C; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Sutherland

Applications follow the official employer page linked below.

Open the official Sutherland posting below and match the title and reference REF45851C.

Compare your qualifications and experience with the essential conditions for the Hyderabad, //TS, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• AWS
• problem resolution
• Git
• warehouse operations
• communication