Data Warehouse Engineer

Overview

Company Introduction: -

• A dynamic company headquartered in Australia.
• Multi awards winner, recognized for excellence in telecommunications industry.
• Financial Times Fastest-growing Company APAC 2023.
• AFR (Australian Financial Review) Fast 100 Company 2022.
• Great promotion opportunities that acknowledge and reward your hard work.
• Young, energetic and innovative team, caring and supportive work environment.

About You:

We are seeking an experienced and highly skilled Data Warehouse Engineer to join our data and analytics team. Data Warehouse Engineer with an energetic 'can do' attitude to be a part of our dynamic IT team. The ideal candidate will have over 5 years of hands-on experience in designing, building, and maintaining scalable data pipelines and reporting infrastructure. You will be responsible for managing our data warehouse, automating ETL workflows, building dashboards, and enabling data-driven decision-making across the organization.

Your Responsibilities will include but is not limited to:

• Design, implement, and maintain robust, scalable data pipelines using Apache NiFi, Airflow, or similar ETL tools.
• Develop and manage efficient data ingestion and transformation workflows, including web data crawling using Python.
• Create, optimize, and maintain complex SQL queries to support business reporting needs.
• Build and manage interactive dashboards and visualizations using Apache Superset (preferred), Power BI, or Tableau.
• Collaborate with business stakeholders and analysts to gather requirements, define KPIs, and deliver meaningful data insights.
• Ensure data accuracy, completeness, and consistency through rigorous quality assurance processes.
• Maintain and optimize the performance of the data warehouse, supporting high-availability and fast query response times.
• Document technical processes and data workflows for maintainability and scalability.

To be successful in this role you will ideally possess:

• 5+ years of experience in data engineering, business intelligence, or a similar role.
• Strong proficiency in Python, particularly for data crawling, parsing, and automation tasks.
• Expert in SQL (including complex joins, CTEs, window functions) for reporting and analytics.
• Hands-on experience with Apache Superset (preferred), or equivalent BI tools like Power BI or Tableau.
• Proficient with ETL tools such as Apache NiFi, Airflow, or similar data pipeline frameworks.
• Experience working with cloud-based data warehouse platforms (e.g., Amazon Redshift, Snowflake, BigQuery, or PostgreSQL).
• Strong understanding of data modeling, warehousing concepts, and performance optimization.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience with version control (e.g., Git) and CI/CD processes for data workflows.
• Familiarity with REST APIs and web scraping best practices.
• Knowledge of data governance, privacy, and security best practices.
• Background in the telecommunications or ISP industry is a plus.

Job Types: Full-time, Permanent

Pay: ₹40,000.00 - ₹70,000.00 per month

Benefits:

• Leave encashment
• Paid sick time
• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Supplemental Pay:

• Overtime pay
• Performance bonus

Work Location: In person