Senior Data Engineer

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Fasset

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

₿ Crypto

💸 Finance

Fintech • Crypto • Finance

Fasset is an all-in-one financial super app designed for individuals and businesses to securely invest, earn, and make payments worldwide. The platform facilitates the management of digital and real-world financial assets, allowing users to convert assets into spendable currency with ease. It features a blockchain-based ecosystem for the tokenization of assets like stocks, bonds, commodities, and precious metals, providing an inclusive, ethical, and secure financial management experience. The app offers a wide range of tools for trading, investment, and payment solutions, aligning with global financial needs and emerging markets.

📋 Description

• Own the deployment, scaling, and orchestration of core data stack using AWS Managed Workflows for Apache Airflow (MWAA). • Design and evolve the overall data platform architecture, making thoughtful tradeoffs around scalability, reliability, cost, and maintainability. • Configure and optimize raw data storage in S3, managing Redshift external schemas (Spectrum) and AWS Glue Data Catalog. • Define efficient partitioning strategies, leverage columnar file formats (Parquet), and optimize storage layouts for query performance, scalability, and cost. • Design scalable analytical data models using dimensional modeling and lakehouse best practices to support reporting, analytics, and downstream consumers. • Manage and optimize dbt to ensure efficient transformation, testing, and materialization of raw data within Amazon Redshift. • Build observability into the data platform through monitoring, logging, alerting, and operational dashboards. • Help design and implement the transition toward event-based ingestion into S3. • Implement and maintain CI/CD deployment pipelines for dbt projects, Airflow DAGs, and infrastructure. • Ensure high performance, access control, and uptime for BI tools connecting to Redshift.

🎯 Requirements

• Extensive hands-on experience deploying and managing AWS data services, specifically MWAA (Airflow), Redshift / Redshift Spectrum, S3, IAM, and Glue. • Advanced proficiency with dbt (structuring dbt projects, configuring sources, writing custom macros, and optimizing incremental models). • Solid hands-on experience deploying AWS data platform components using Terraform or AWS CloudFormation. • Expert-level SQL skills, with a deep understanding of Redshift distribution/sort keys and optimizing queries across external schemas. • Strong Python experience for developing Airflow DAGs, automation, integrations, and data engineering tooling • Experience designing efficient data lakes using Parquet, partitioning strategies, metadata catalogs, and external table technologies such as Redshift Spectrum. • Experience with open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi, including an understanding of ACID transactions, schema evolution, time travel, and metadata management. • Experience with Apache Kafka or AWS MSK for event-driven data streaming and real-time ingestion into S3 (Bonus). • Experience designing resilient streaming pipelines with appropriate delivery guarantees, reconciliation, backfill strategies, and schema contract management (Nice-to-Have).

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities