Custom Software Engineer

Description

• Collaborate with stakeholders to gather requirements and design end-to-end data solutions.
• Design and implement modern data architectures, including medallion architecture, star and snowflake schemas, and handling of slowly changing dimensions (Type I & II).
• Act as a Subject Matter Expert (SME) in Google BigQuery and related GCP services.
• Mentor and guide junior team members to enhance their technical skills and knowledge.
• Stay updated with emerging technologies and evaluate their potential to improve data engineering practices. Required Skills and Experience:
• Monitor and optimize data pipelines for performance, cost efficiency, and scalability.
• Develop and implement data integration pipelines for batch and streaming data using tools like Apache Beam (Google Dataflow), Google Cloud Functions, and Google Workflows.
• Build and optimize semantic models and layers, such as LookerML or Power BI, to enable data visualization with KPIs and metrics.
• Ensure data quality, security, and governance by implementing best practices in IAM, encryption, tokenization, and native security features like row-level and column-level security in Google BigQuery.

Requirements

• Proven experience in mentoring and leading teams. Additional Information:
• Proven ability to troubleshoot and optimize application performance.
• Excellent problem-solving skills and ability to provide innovative solutions.
• Familiarity with tools like Google Composer, Google Dataplex, Google AutoDQ, Google Pub/Sub, Google Storage, and Google Looker Studio.
• Strong expertise in SQL development, data modeling, and optimization techniques.
• Experience in building and managing data pipelines for batch and streaming data.
• Strong understanding of data security practices, including IAM, encryption, and tokenization.
• Minimum 3-5 years of hands-on experience with Google BigQuery and GCP services.
• In-depth understanding of data warehousing concepts, medallion architecture, and best practices.
• We are looking for candidates who are passionate about data engineering and have a proven track record of delivering high-quality, scalable data solutions.
• Data Engineering experience 10+ yrs
• A full-time education of 15 years is required.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance