Job Description

• New Delhi, Delhi, India

Roles & Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to support data analytics and machine learning initiatives.
• Utilize workflow management platforms to orchestrate and automate data engineering pipelines.
• Implement data models and schemas to support data storage, retrieval, and analysis.
• Work closely with data scientists and analysts to understand data requirements and provide data engineering solutions.
• Collaborate with software engineers to integrate data pipelines with existing systems and applications.
• Implement data quality monitoring and validation processes to ensure data integrity and accuracy.
• Optimize data infrastructure and performance to meet scalability and performance requirements.
• Setup instrumentation and monitoring to track production health parameters and proactively alert in case of any performance degradation.

Requirements

• Proficiency in Python for scripting and data manipulation.
• Solid understanding of data modeling concepts and database technologies (e.g., SQL, NoSQL, relational databases).
• Experience working with monitoring tools such as Datadog is a plus. . Experience with data warehouse solutions such as Snowflake, Redshift, or BigQuery.
• Strong experience with the Google Cloud platform and its respective data services (BigQuery, Airflow).
• Strong experience working with relational databases such as PostgreSQL.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment or Certifications.]

Example: Excellent verbal and written communication skills

Years of experience: 4+ yrs