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Sutherland Hiring 2026: Airflow Python Developer / Data Engineer (Hyderabad)

Sutherland Hyderabad Full-time Junior (1–3 yrs) Not Disclosed Posted 3 hours ago

Company :- Sutherland
Job Title :- Airflow Python Developer (Data Engineer)
Service Line :- Cloud Engineering, Advanced Analytics & Automation
Employment Type :- Full-Time
Experience Level :- 2 to 4 Years
Posting Recency :- Active (September 2026)
Location :- Hyderabad, Telangana, India

Team & Practice Overview

Sutherland’s Cloud Engineering & Analytics practice builds AI-driven, automated data architectures for global clients.

As an Airflow Python Developer / Data Engineer, you will design, orchestrate, and automate robust ETL/ELT pipelines. You will write custom Apache Airflow Directed Acyclic Graphs (DAGs), deploy cloud ingestion routines via AWS, and manage scalable data warehousing solutions using Snowflake.

Key Responsibilities & Daily Workflow

Pipeline Orchestration & Airflow Engineering

  • DAG Development: Author, schedule, and maintain complex Airflow DAGs using custom operators, sensors, and hooks.
  • Workflow Automation: Automate end-to-end data ingestion, transformation, and validation tasks across cloud storage and data warehouses.
  • Monitoring & Escalation: Monitor pipeline execution, perform root-cause analysis on DAG task failures, and ensure high operational uptime.

Data Engineering & Cloud Data Warehousing

  • Cloud Architecture Integration: Leverage AWS services (S3, Glue, Lambda, Athena) and Snowflake for data storage and processing.
  • SQL Optimization: Write high-performance SQL queries, views, and stored procedures for complex data transformations.
  • CI/CD & Version Control: Deploy data pipelines through Git repositories, automated CI/CD workflows, and track sprint deliverables in Jira.

Minimum & Preferred Qualifications

Required Qualifications

  • Educational Qualification: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
  • Total Experience: 2 to 4 years of hands-on experience in Python scripting and data engineering automation.
  • Airflow Expertise: Minimum 1+ years of dedicated experience with Apache Airflow (DAG design, scheduling, XComs, TaskFlow API).
  • Cloud & SQL Competency: Solid proficiency in SQL query optimization and AWS services (S3, Glue, Lambda, Athena).

Preferred / Good-to-Have Skills

  • Hands-on experience with Snowflake or alternative cloud warehouses (Amazon Redshift, Google BigQuery, Databricks).
  • Familiarity with CI/CD deployment pipelines, Git versioning, and Jira issue tracking.
  • Strong written and verbal technical communication skills.

Extra Value Additions & Candidate Guidance

Estimated Compensation Expectations

For an Airflow Python Developer (2–4 years experience) at Sutherland Hyderabad:

  • Estimated Base Package: ₹6,50,000 to ₹10,50,000 INR per annum.
  • Total Annual CTC: ₹7,20,000 to ₹12,00,000 INR (includes variable bonuses, medical insurance, and continuous technical certification allowances).

Selection Workflow & Evaluation Rounds 

1. Profile Shortlisting (Assessment of Python, Airflow DAGs & AWS/Snowflake Experience)
   ↓
2. Online Technical Coding Test (Python Scripting, SQL Query Optimization & Logic Building)
   ↓
3. Technical Interview Round 1 (Airflow Architecture, Custom Operators/Sensors, Python Data Libraries & SQL)
   ↓
4. Technical Architecture Round 2 (ETL/ELT Design, Snowflake Data Loading, AWS Glue/S3 Integration & Pipeline Monitoring)
   ↓
5. HR & Cultural Fitment Round (Project Discussion, CTC Expectations & Onboarding Timeline)

Core Topics to Master Before the Interview

  • Apache Airflow Internals: Operators vs. Sensors, XComs data passing, TaskFlow API (@task decorator), catchup/backfill settings, and executor types (CeleryExecutor, KubernetesExecutor).
  • Python for Data Pipelines: Advanced OOP concepts, exception handling, working with Pandas/PySpark, boto3 SDK for AWS integration, and API connection handling.
  • Snowflake & SQL Performance: Copy commands (COPY INTO), staging data in S3, micro-partitioning, warehouse sizing, indexing alternatives, and CTE query optimization.
  • Cloud ETL Architecture: Event-driven pipeline execution using AWS Lambda/S3 triggers and Glue ETL job orchestration.

Key Words for Resume Optimization (ATS)

Technical & Data Engineering Keywords

  • Airflow Python Developer / Data Engineer
  • Apache Airflow (DAGs, Operators, Sensors, Hooks)
  • Python Scripting & Data Pipeline Automation
  • ETL / ELT Architecture & Orchestration
  • Snowflake Cloud Data Warehouse
  • AWS Services (S3, Glue, Lambda, Athena)
  • Advanced SQL Optimization & Stored Procedures
  • Git, CI/CD Pipelines & Jira

Operational Keywords

  • High Availability & Pipeline Troubleshooting
  • Root-Cause Analysis & SLA Maintenance
  • Cross-Functional Agile Collaboration
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Frequently Asked Questions (FAQs)

1. Where is the job location?

The role is stationed at Sutherland’s facility in Hyderabad, Telangana, India.

2. Is experience with Snowflake mandatory?

Prior hands-on experience with Snowflake is considered a strong preference (“good-to-have”), though equivalent experience with Amazon Redshift, Google BigQuery, or Databricks is also evaluated favorably.

3. What is the minimum required experience in Apache Airflow?

Candidates must possess at least 1 year of hands-on experience designing and scheduling DAGs using Apache Airflow.

4. What is the overall experience criteria?

The total experience requirement ranges between 2 to 4 years in Python development and data pipeline engineering.