Data Engineer / Analyst /ETL with ( Python Developer )

Overview

Role: Data Engineer / Analyst / ETL with (Python Developer)

Domain: Mortgage Domain

Experience: Min. 6+ years required.

Mode of Work: Remote | Contract

Work Timing: USA EST Time (4:00 PM to 1:00 AM IST)

Location: India

Must-Have:

• Mortgage domain experience.
• 3-5 years of experience in Python and data-focused packages, e.g., Pandas, Numpy; interacting with JSON, XML, CSV, and TSV formatted data
• 3-5 years of experience with Snowflake, SQL.
• 2-3 years of experience with version control like git, bitbucket, and Linux environment
• Working knowledge of API Consumption is preferred
• Familiarity with Java, Tableau, and Agile practice is a plus
• Good to have knowledge of the financial domain.
• Only immediate joiners will be considered.

Responsibilities:

• Help move products through the development lifecycle from proofs of concept all the way to final, production-ready products
• Engineer, build, and maintain scalable automated data pipelines.
• Implement best practices in the management of data, including data processing, data quality, and lineage.
• Managing code repositories, and code deployments using GIT
• Automate, maintain, and manage the system, to ensure the availability, performance, and scalability of product.
• Support regular and ad-hoc data querying and analysis.

Job Type: Contractual / Temporary

Pay: From ₹1,200,000.00 per year

Experience:

• Data Engineer / Analyst / ETL Developer: 5 years (Preferred)
• Python Developer: 5 years (Preferred)
• Mortgage Domain: 1 year (Preferred)
• Snowflake: 3 years (Preferred)
• SQL: 3 years (Preferred)

Work Location: Remote