Lead Data Engineer - R01548622

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Lead Data Engineer

• Athena, Step Functions, Spark - Pyspark, ETL Fundamentals, SQL (Basic + Advanced), Glue, Python, Lambda, Data Warehousing, EBS /EFS, AWS EC2, Lake Formation, Aurora, S3, Modern Data Platform Fundamentals, PLSQL, Data Modelling Fundamentals, Cloud front

• You’ll work with other Data Engineers for the build-out of the Next Generation Data Platform.  
• You’ll collaborate with various teams to provide guidance on best practices for utilizing the Cloud Data Platform. 
• You’ll be working on latest Cloud Data Warehouse Platform (Snowflake) and developing Data Marts using Python and SQL.   
• You’ll work with the team to design and develop a Data Catalog Service using Snowflake Horizon and Polaris.  
• You’ll work with the team to design and develop Data Observability using DataDog and Data Recon to detect data anomalies. 
• You will design and develop a CI/CD process for continuous delivery in AWS Cloud and Snowflake.  
• You’ll design, develop, and test robust, scalable data platform components 

• The ideal candidate will possess extensive experience in building data platform at enterprise scale. You will possess strong analytical skills, attention to detail, and the ability to thrive in a fast-paced environment. Excellent communication and collaboration skills are essential to communicate with technical & non-technical partners. The candidate must demonstrate a proactive and results-driven approach to problem-solving, with a focus on driving continuous improvement and innovation in data quality and operational processes. 
• If you are eager to shape the next generation of data foundations in the real estate industry and make an impact, join us in an extraordinary world-class data and analytics organization and become part of the digital transformation is leading. 

• Bachelor’s in computer science, Engineering, or related technical discipline or equivalent combination of training and experience 
• 5+ years programming experience: building application frameworks, and back-end systems for high-volume pipelines using Python. 
• Strong knowledge of SQL for querying, data manipulation, and data transformation 
• Understanding of dimensional modeling, star schemas, and data partitioning techniques 
• 2+ years’ experience with the Cloud Data warehousing services, including storage options, compute capabilities, and data management tools 
• 3+ years’ experience using Orchestration tools like Airflow or dbt 
• 2 years’ experience using AWS Data Services: S3, Cloudformation, EMR 
• 2 years’ experience building Data Observability tools like DataDog or any other tool . 
• 3+ year exp. with data architecture, ETL and processing of structured and unstructured data 
• 3+ years’ experience with DevOps tools (any combination of GitHub, TravisCI or Jira) and methodologies (Lean, Agile, Scrum, Test Driven Development) 

• Excellent communication ability to communicate on different levels of seniority. 
• Team player; enjoying being part of a cross-functional setup. 
• Ability to perform well on time-critical endeavors and on multiple fronts at the time. 
• Strong dedication to quality and a 'client' mindset. 
• A passion for learning and continuous improvement. 

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