Remote Senior Data Engineer

Description:

• The Senior Data Engineer will be responsible for designing, building, and optimizing the data infrastructure.
• This role involves developing scalable data pipelines, ensuring data quality, and enabling efficient data access for analytics and business insights.
• The engineer will collaborate closely with data scientists, analysts, and software engineers to shape the data strategy and drive innovation.
• Key responsibilities include leading database design, cloud deployment (Google Cloud, Cloud SQL, BigQuery), and API integrations.
• The engineer will work with business stakeholders to identify and prioritize critical business problems that can be solved with data-driven solutions.
• They will build and maintain automated pipelines that move data from diverse sources into the data warehouse, ensuring data quality and integrity.
• The role requires deploying scalable data solutions to production and ensuring their reliability and performance meet business needs.
• Collaboration with cross-functional teams is essential to align data solutions with broader organizational goals.
• The engineer will implement and maintain data pipelines in production environments and regularly assess their performance for optimization.
• Monitoring systems will be set up to track the performance of data products and provide actionable reports to stakeholders.

Requirements:

• A minimum of 8 years of experience in data engineering or a similar role is required, with a proven track record of end-to-end solution delivery.
• Candidates must have experience in building and deploying data pipelines and machine learning models at scale in production environments.
• Demonstrated experience in moving data from multiple sources into centralized data warehouses is essential.
• A Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field is required.
• Professional certifications in cloud technologies or machine learning frameworks are a plus.
• Proficiency in programming languages such as Python, SQL, and API Development is necessary.
• Experience with data engineering tools like BigQuery, dbt, Fivetran, Cloud SQL, ETL Pipelines, and Airflow is required.
• Familiarity with version control systems like GitHub and cloud technologies such as Google Cloud, Docker, and CI/CD is essential.
• Knowledge of data visualization tools like Looker Studio and Power BI is required.
• Technical requirements include a Windows 11 operating system or macOS 13+, a minimum of 256GB storage space, 16GB RAM, a dual-core CPU, an HD webcam, a noise-cancelling headset, and a minimum internet speed of 50 Mbps.

Benefits:

• The position offers a competitive pay range of 150,000 - 180,000 INR per month.
• It is a full-time remote or work-from-home opportunity.
• The role operates in the Sydney Australian Time Zone during the day shift.
• Health insurance is provided as part of the benefits package.
• There are opportunities for career growth within the organization.