Data Engineer

Key Responsibilities:

• Design and implement data architecture, pipelines and ETL processes.
• Develop and maintain data platform, dashboards to support analytics and reporting.
• Ensure data quality, reliability, and availability across all data platforms.
• Develop and implement IAC and CICD to streamline and automate the deployment process.
• Collaborate with Business units, data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
• Optimize data storage and retrieval processes for efficiency and performance.
• Provide L3 support for in-house development work and data platform/warehouse.

What We are Looking For:

• Bachelor's degree in Computer Science, Information Systems, or related field.
• At least 3-5 years of experience in data engineering or related roles.
• Proven experience in building data platforms in Cloud.
• Strong proficiency in SQL, Python, and other relevant programming languages.
• Hands-on experience with IAC and Cloud services such as BigQuery, Dataflow, Kafka and Pub/Sub will be a huge advantage.
• Experience in developing API endpoints over Apigee, integrating with Drupal-based Developer portals, and enabling monetization models is highly desirable as well.
• Familiarity with data modelling, ETL processes, and data warehousing concepts.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills and the ability to work collaboratively in a team environment.