Senior Data Engineer/Architect Weekday AI (YC W21)
Weekday AI (YC W21)
Office Location
Full Time
Experience: 8 - 8 years required
Pay:
Salary Information not included
Type: Full Time
Location: Haryana
Skills: leadership skills, data architecture, ETL tools, Python, Java, data governance, security compliance, ETLELT pipelines, Cloudbased Data Platforms, Sql Optimization
About Weekday AI (YC W21)
Job Description
This role is for one of the Weekday's clients Min Experience: 8 years Location: Gurgaon JobType: full-time We are seeking a Senior Data Engineer to lead and optimize data engineering initiatives, ensuring efficient data processing, governance, and scalability. The ideal candidate will have extensive experience in ETL/ELT pipelines, cloud-based data platforms, and SQL optimization, with strong leadership skills to drive data-driven decision-making. Requirements Key Responsibilities: Lead and mentor data engineers, promoting best practices in data architecture and engineering. Design, develop, and optimize ETL/ELT pipelines to facilitate seamless data processing and integration. Work extensively with cloud-based data platforms such as Snowflake, Redshift, or BigQuery for data storage and management. Develop and optimize complex SQL queries, ensuring database performance, data modeling, and schema design. Utilize ETL tools like Talend, Informatica, or similar to streamline data workflows. Leverage Python or Java for data processing, automation, and transformation tasks. Ensure data governance and security compliance, implementing best practices for data integrity and protection. Collaborate with cross-functional teams (business, analytics, and engineering) to define data requirements and drive business intelligence initiatives. Manage multiple projects simultaneously, ensuring timely delivery and alignment with business objectives. Required Skills & Qualifications: 8+ years of experience in data engineering, with at least 5 years in a leadership role (preferably within an Asset Management company). Expertise in ETL/ELT processes and hands-on experience with ETL tools like Talend, Informatica, or similar. Proficiency in cloud-based data platforms such as Snowflake, Redshift, or BigQuery. Advanced SQL skills with experience in database tuning, data modeling, and schema design. Strong programming skills in Python or Java for data engineering and automation. Deep understanding of data governance, compliance standards, and security best practices. Excellent communication and project management skills, with the ability to manage multiple priorities effectively. Willingness to relocate to Gurgaon if not currently based there. Work Environment: Hybrid Model - 3 days working from the office in Gurgaon,