Data Engineer with Mortgage - Onsite

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Job Description

Responsibilities

• Design and implement scalable solutions for ever-increasing data volumes, using big data/cloud technologies like Pyspark, Kafka, etc.
• Collaborate with cross-functional teams to understand data requirements and provide effective solutions.
• Implement real-time data ingestion and processing solutions.
• Develop and maintain ETL/ELT processes to support data analytics and reporting.
• Implement best practices for data security, integrity, and quality.
• Develop data integration and migration strategies to move data from legacy systems to cloud.
• Monitor and troubleshoot the performance and availability of the data systems and implement strategies to improve their reliability and scalability.
• Manage security and access controls for the data systems, including managing roles and permissions, implementing encryption, and complying with regulatory requirements.

Requirements

• Bachelor's in Engineering or Master's degree in Computer Science, Information Systems or related field.
• Minimum of 5 - 9 years of experience in data engineering.
• Experience with databases and data warehouse implementations (Preferred – Snowflake, PostgreSQL).
• Strong SQL skills with experience in writing and optimizing complex queries.
• Working knowledge of data warehousing, data governance, data quality and data architecture.
• Experience in data modelling.
• Ability to handle large scale structured and unstructured data from internal and third-party sources.
• Hands on experience in Python, Pyspark, Kafka.
• Experience with data engineering tools/technologies in Google Cloud Platform cloud environment.
• Proficiency in designing and maintaining scalable data architectures.
• Experience with CI/CD tools like GitHub.