Junior Data Engineer

Job not on LinkedIn

🔥 9 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Saaf Finance

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

💳 Fintech

🤖 Artificial Intelligence

☁️ SaaS

Fintech • Artificial Intelligence • SaaS

Saaf Finance is an AI-driven underwriting platform for mortgage lenders. Saaf’s AI Underwriter automates mortgage underwriting across products such as Non-QM, RTL, HELOC, DSCR, Jumbo, and Bank Statement loans, using OCR, large language models, and API integrations with data vendors and loan origination systems (e. g. , Encompass, MeridianLink). The platform produces structured “Source of Truth” loan data, reduces fraud risk through direct data connections, and claims substantial operational gains (faster processing, lower cost, and greater scalability). Saaf positions itself as a B2B partner to mortgage operations and secondary market participants, leveraging a training set of 200K+ loans and decades of industry experience to augment underwriters rather than replace them.

📋 Description

• Assist in building and maintaining data pipelines under the guidance of senior engineers • Write, test, and optimize SQL queries to extract, transform, and validate data • Support batch data ingestion and basic ETL/ELT workflows using Python • Run basic data-quality checks and flag inconsistencies • Learn and work within the Snowflake/Databricks cloud data warehouse under supervision • Document data flows, basic technical specifications, and test cases • Participate in code reviews and incorporate feedback to improve code quality • Collaborate with analytics and business teams to understand data needs • Learn new tools, languages, and best practices • Communicate progress and blockers clearly with the team

🎯 Requirements

• For freshers, a Bachelor's degree in Computer Science, Computer Engineering, IT, or a related field • For freshers, basic understanding of SQL, including simple SELECT, JOIN, and aggregation queries • For freshers, basic knowledge of Python programming • For freshers, basic awareness of data warehousing concepts, including tables, schemas, and ETL at a conceptual level • For freshers, understanding of relational databases and data structures • For freshers, strong willingness to learn, analytical thinking, and attention to detail • For freshers, good verbal and written communication skills • For candidates with 1–2 years of experience, 1–2 years of hands-on experience in data engineering, analytics engineering, or a similar role • Working knowledge of SQL, including joins, aggregations, and basic performance tuning • Hands-on experience with Python; exposure to PySpark is a plus • Exposure to a cloud data warehouse or lakehouse platform such as Snowflake, Databricks, Redshift, or BigQuery • Basic exposure to ETL/data pipeline tools such as Airflow, dbt, or Fivetran is a plus • Familiarity with version control using Git, GitHub, or Bitbucket • Basic understanding of AWS, Azure, or GCP • Good problem-solving skills and ability to work in an agile team environment • Academic or internship project experience involving data pipelines or analytics is nice to have • Exposure to workflow orchestration tools such as Airflow is nice to have • Basic familiarity with Kafka or NoSQL databases is nice to have • Exposure to Power BI, Tableau, or Looker is nice to have • Basic knowledge of Docker or containerization concepts is nice to have