Snowflake Data Engineer

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

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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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Design, develop, and maintain scalable data warehouse solutions using Snowflake • Develop robust and optimized ETL/ELT pipelines for ingesting, transforming, and loading data from multiple source systems • Lead and execute Oracle-to-Snowflake migration activities, including data assessment, mapping, transformation, validation, and reconciliation • Analyze existing Oracle databases, stored procedures, ETL workflows, and data models to determine migration strategies • Design and implement data models, schemas, tables, views, and data structures in Snowflake • Develop SQL queries, transformations, and data processing workflows • Optimize Snowflake workloads through warehouse sizing, query optimization, clustering, partitioning, and resource management • Build reliable data pipelines supporting data quality, accuracy, and timely availability for analytics and reporting • Perform data validation and reconciliation between Oracle and Snowflake during and after migration • Collaborate with data architects, analysts, application teams, and business stakeholders on data requirements • Troubleshoot data pipeline failures, performance issues, and data quality problems • Establish best practices for data security, governance, documentation, and operational monitoring • Contribute to modernization of legacy data platforms and migration to cloud-based solutions

🎯 Requirements

• Minimum 5+ years of experience in data engineering or data warehousing • 5–8 years of hands-on experience in data engineering, data warehousing, and large-scale data migration • Strong hands-on experience with Snowflake Data Warehousing • Strong expertise in ETL/ELT development and data pipeline engineering • Proven experience with Oracle-to-Snowflake migration projects • Advanced SQL skills, including complex queries, joins, transformations, and performance optimization • Strong understanding of data warehousing concepts, dimensional modeling, fact and dimension tables, and data integration patterns • Experience with data migration, reconciliation, validation, and troubleshooting • Good understanding of cloud-based data platforms and modern data engineering practices • Experience with ETL tools such as Informatica, Talend, Matillion, or similar platforms • Exposure to Python for data engineering and automation • Experience with AWS, Azure, or GCP data services • Knowledge of Snowflake features such as Streams, Tasks, Snowpipe, Dynamic Tables, and Time Travel • Familiarity with CI/CD, Git, and DevOps practices • Experience working in Agile development environments • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is preferred • Strong communication and problem-solving skills