Senior Data Engineer - SQL/Python (4-8 yrs)

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.

Qualifications :

- Over 5 years of experience in data engineering or a related role.

- Strong experience with the Google Cloud platform and its respective data services (BigQuery, Airflow).

- Strong experience working with relational databases such as SQL server, as well as NoSQL databases such as MongoDB.

- 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.

- Excellent problem-solving skills and attention to detail.

- Strong comm Skills