Air Arabia

3 weeks ago

Lead Data Engineer (Pune, MH, IN)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Lead the data engineering function to design and evolve a scalable data platform, delivering reliable pipelines and data lakes to underpin analytics, data science and AI, while mentoring a high-performance team and aligning engineering strategy with business goals.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Manager level

Key Responsibilities

•Define and own the data engineering roadmap, aligning pipeline, platform, and infrastructure strategy with organizational data and AI goals.
•Architect and oversee the design of scalable, resilient data pipelines, data lakes, and warehouse solutions that meet performance, cost, and governance requirements.
•Lead end-to-end delivery of complex data engineering initiatives, from requirements through to production.
•Establish and enforce engineering standards, code quality practices, and data governance frameworks across the team.
•Collaborate with Data Science and AI teams to ensure data infrastructure is fit for advanced analytics and machine learning workloads.

Key Requirements

•Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
•Expert-level proficiency in SQL and Python; strong knowledge of Spark, Scala, or Java.
•Deep experience with cloud data platforms (AWS, GCP, or Azure) and associated managed services.
•Proven ability to design and implement complex data models across relational, NoSQL, and lakehouse architectures.
•Strong knowledge of data orchestration tools (e.g., Apache Airflow, Prefect, dbt) and CI/CD for data pipelines.

Experience:Data engineeringCloud data platformsReal-time data

Education:Bachelor's

Skills:SQLPythonSparkScalaJavaAirflowDbtCI/CDData governanceMLOps

Certifications:ITIL

Languages:English

Tech Stack:SQLPythonSparkScalaJavaAWSGCPAzureAirflowDbtKubernetesKafkaFlinkKinesis

Company Brief

Air Arabia

Air Arabia is a low-cost carrier based in the United Arab Emirates, offering scheduled passenger and cargo services across the Middle East, North Africa, Asia and Europe with a focus on affordable regional air travel.

Industry: Airlines

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sharjah, United Arab Emirates

Founded: 2003

Website LinkedIn

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Air Arabia

3 weeks ago

Lead Data Engineer (Pune, MH, IN)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Sr. Manager level

Key Responsibilities

•Define and own the data engineering roadmap, aligning pipeline, platform, and infrastructure strategy with organizational data and AI goals.
•Architect and oversee the design of scalable, resilient data pipelines, data lakes, and warehouse solutions that meet performance, cost, and governance requirements.
•Lead end-to-end delivery of complex data engineering initiatives, from requirements through to production.
•Establish and enforce engineering standards, code quality practices, and data governance frameworks across the team.
•Collaborate with Data Science and AI teams to ensure data infrastructure is fit for advanced analytics and machine learning workloads.

Key Requirements

•Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
•Expert-level proficiency in SQL and Python; strong knowledge of Spark, Scala, or Java.
•Deep experience with cloud data platforms (AWS, GCP, or Azure) and associated managed services.
•Proven ability to design and implement complex data models across relational, NoSQL, and lakehouse architectures.
•Strong knowledge of data orchestration tools (e.g., Apache Airflow, Prefect, dbt) and CI/CD for data pipelines.

Experience:Data engineeringCloud data platformsReal-time data

Education:Bachelor's

Skills:SQLPythonSparkScalaJavaAirflowDbtCI/CDData governanceMLOps

Certifications:ITIL

Languages:English

Tech Stack:SQLPythonSparkScalaJavaAWSGCPAzureAirflowDbtKubernetesKafkaFlinkKinesis

Company Brief

Air Arabia

Industry: Airlines

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sharjah, United Arab Emirates

Founded: 2003

Website LinkedIn