Senior Data and Analytics Engineer

5 days ago

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Terrascope

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Carbon measurement • Carbon management • Corporate sustainability • ESG • Carbon analytics

51 - 200

Description

• Join us on a mission to save the planet! • Reversing the impact of climate change is one of the world’s biggest challenges. • Terrascope is a smart carbon management and accounting platform. • We are seeking a Senior Data & Analytics Engineer to design scalable data architectures for SaaS platforms. • This role will leverage the AWS Data Engineering stack, Postgres, and analytics processing techniques.

Requirements

• Bachelor’s degree in STEM field. • At least 5 to 8 years of extensive experience as a Data and Analytics engineer building data platforms for SaaS apps, large-scale data processing workflows, advanced analytics and processing techniques. • Experience in database migration projects. • Experience in build or migration of multi-tenant database projects. • Deep competence in Python scripting for writing ETL pipelines, custom migration scripts, and automating AWS tasks. • Deep competence in Java/Go for building high-performance, scalable tools to handle complex migration needs. • Deep competence in data storage and management using AWS RDS(postgres), S3 and Document DB. • Deep competence of Postgres database architecture and functionality, including indexes, partitioning, and query optimization. • Deep competence in Materialized Views, including their creation, refresh strategies, and use cases for analytics. • Advanced SQL skills to design complex queries that aggregate, filter, and transform data effectively for materialized views. • Deep competence in data processing using AWS Glue, Lambda and Step functions. • Have experience in AWS data migration service. • Deep competence in data processing and analytics using AWS Athena and AWS Redshift. • Deep competence in security and monitoring using AWS IAM, AWS CloudWatch and AWS CloudTrail. • Experience in design mapping between MongoDB’s flexible schema and Postgres' relational schema. • Experience in data enrichment and cleaning techniques. • Proven experience with scalable, large data sets and high-performance SaaS applications. • Strong ability to work with and optimize large-scale data systems • You are a data engineer with a strong background in building scalable analytics solutions in startup environments. • You are passionate about creating efficient data processing systems and driving analytics innovation. • You are a problem solver with excellent programming skills and a focus on performance optimization. • You are a collaborative team player who enjoys mentoring peers and sharing best practices.