Sr. Data Engineer

American Airlines • Commercial Aviation • Python • SQL • Scala • ETL/ELT • Azure Data Factory • 10 hours ago

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Salary

≈ $21k – $42k per year (Estimated)

Location

In office (Hyderabad)

Seniority

Senior · 7+ years exp

First seen by Alion on Oct 21, 2026.

Overview

Company

Impact

Profile match

American Airlines

American Airlines is a US-based airline holding company that provides regional flight and ground handling services along with operating nearly 6,800 daily flights to around 350 destinations across 48 countries.

americanairlines.in • Hyderabad • UTC+05:30 • Commercial Aviation • Est. 1926

Tech stack of American Airlines

Requirements:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
5+ years of hands-on experience in data engineering roles, with strong experience in ETL/ELT pipeline development and cloud-based data platforms.
Strong proficiency in SQL and Python or Scala for data transformation, orchestration, and performance tuning.
Hands-on experience with Databricks, Spark, Azure Data Factory, and Medallion architecture implementation.
Strong knowledge of source database technologies including Oracle, SQL MI, and MongoDB.
Experience with file-based ingestion patterns involving CSV, Parquet, JSON, and similar formats.
Strong data modelling expertise, particularly in designing standardised and business-ready datasets within the Silver layer.
Understanding of data warehousing, reporting, and downstream analytics concepts.
Knowledge of automated testing practices for data pipelines and transformations.
Strong analytical and problem-solving skills with the ability to diagnose issues and implement effective solutions.
Strong verbal and written communication skills with the ability to work effectively with technical and business stakeholders.
Ability to work independently, manage priorities, and lead technical initiatives.
Strong attention to detail and commitment to data quality, integrity, and consistency.

Good to Have:

Experience with cloud platforms such as Azure, AWS, or GCP.
Knowledge of CI/CD tools and practices.
Exposure to data governance and security frameworks.

Skills

ELT, ETL, Python, SQL, Scala, data engineering

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