Senior Data Engineer

Hire Today; India; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Atlassian in India is seeking a Senior Data Engineer to design scalable data architectures and engineering solutions that drive strategic business decisions. You will build high-performance ETL/ELT pipelines, design robust data models, ensure data quality, and enable self-service data platforms while mentoring engineers.

You will collaborate with cross-functional teams across product, engineering and data science, maintaining end-to-end ownership of data pipelines and supporting on-call duties.

Qualifications

• B.E./B.Tech in CS or equivalent required.
• Strong hands-on experience with Spark, Airflow and data pipelines.
• Experience with Databricks and modern cloud data services preferred.

Responsibilities

• Design scalable data architectures and engineering solutions.
• Build and optimize ETL/ELT pipelines using Spark and Airflow.
• Implement data quality and governance frameworks.
• Collaborate with engineering, product and data science teams.
• Maintain end-to-end ownership of data engineering solutions.
• Participate in on-call support and incident response.
• Build and optimize large-scale batch and streaming data systems.

Skills

Python

Scala

SQL

Spark

Airflow

ETL

ELT

Data Modeling

Data Lakes

Batch Processing

Streaming Data

Data Quality

Cloud

SaaS

Education

B.E. in Computer Science or equivalent

Tools

Databricks

Redshift

DynamoDB

MongoDB

PostgreSQL

Git

Bitbucket

CI/CD

Job description

Atlassian is seeking a Senior Data Engineer to design scalable data architectures and engineering solutions that drive strategic business decisions. The role involves building high-performance ETL/ELT pipelines, designing robust data models, ensuring data quality, collaborating with cross-functional teams, and enabling self-service data platforms while mentoring engineers.

Responsibilities

• Design scalable data architecture and engineering solutions
• Build and optimize ETL/ELT pipelines using Spark and Airflow
• Implement data quality and governance frameworks
• Collaborate with engineering
• product
• and data science teams
• Maintain end-to-end ownership of data engineering solutions
• Participate in on-call support
• Build and optimize large-scale batch and streaming data systems.

Skills required

• Python
• Scala
• SQL
• Spark
• Airflow
• Databricks
• ETL
• ELT
• Data Modeling
• Data Lakes
• Redshift
• DynamoDB
• MongoDB
• Git
• Bitbucket
• CI/CD
• Batch Processing
• Streaming Data
• Data Quality
• Cloud
• SaaS

Minimum Qualifications

• B.E. in Computer Science or equivalent

Preferred Qualifications

• Experience with Databricks and its APIs
• Experience with Redshift, DynamoDB, MongoDB, PostgreSQL or similar databases
• Experience working in SaaS companies
• Experience with Machine Learning
• Open source contributions
• Experience building self-service tooling and platforms