Data Engineer (Finance Service)

Overview

Role: Data Engineer (Finance Service)

Experience: 8+ years of experience

Mode of work: 100% Remote

Location: India

Timing: USA PST time Zone - Remote from India.

Higher priority for Immediate Joiner

(The Join Date must be before the 15th of Apr 25)

Must have:

· Snowflake.

· SQL

· Python

· AWS (EC2, S3, CloudWatch, Lambda, CLI)

· Linux

· Apache Airflow

· Flyway

· Finance domain experience

· ETL/ELT

· Data modelling and Database design principles

· Data Integration and transformation.

· Version control – Git

· CI/CD Pipelines

Key Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and develop effective data solutions.
• Design and implement scalable, high-performance data pipelines using Snowflake, SQL, and Python for ETL/ELT processes.
• Optimize data workflows for efficiency, reliability, and maintainability.
• Develop and maintain data models to ensure data accuracy, consistency, and integrity.
• Work with large structured and unstructured datasets to derive actionable insights.
• Identify and resolve data quality issues using data profiling, validation, and cleansing techniques.
• Monitor and troubleshoot data pipelines to ensure high availability and accuracy.
• Continuously improve data automation processes to streamline operations.

Qualifications & Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s preferred).
• Strong experience with Snowflake for data warehousing and analytics.
• Proficiency in SQL for querying and manipulating data.
• Extensive experience in Python for building data pipelines and automation.
• Solid understanding of data modeling concepts and database design principles.
• Familiarity with ETL/ELT techniques, data integration, and transformation processes.
• Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication skills to engage with both technical and non-technical stakeholders.
• Basic domain experience is a plus, particularly in understanding industry-specific data assets and developing testing plans accordingly.

Job Type: Contractual / Temporary

Pay: From ₹900,000.00 per year

Schedule:

• US shift

Experience:

• Data Engineer: 8 years (Preferred)
• Snowflake: 5 years (Preferred)
• SQL: 5 years (Preferred)
• Python: 5 years (Preferred)
• Corporate finance: 1 year (Preferred)
• AWS: 5 years (Preferred)

Work Location: Remote

Expected Start Date: 11/04/2025