FDE Engineer (Data Heavy)
CodeRound is hiring for this role.
- Data Engineer
- Data Engineering
- SQL
- Python
- ETL
- ELT
- Data Pipelines
- Data Integration
- Data Migration
- Data Warehousing
- Data Modeling
- Data Quality
- Data Validation
- Data Cleaning
- Data Profiling
- Medallion Architecture
- Bronze Silver Gold
- PostgreSQL
- MySQL
- Snowflake
- AWS
- Azure
- GCP
- Cloud Data Services
- Apache Spark
- Hadoop
- Apache Airflow
- Dagster
- Tableau
- Power BI
- Data Analytics
- Enterprise Data
- Database Optimization
- Modern Data Stack
This role is for one of our client companies — an AI-native technology startup reimagining enterprise IT services through AI agents and human expertise. The company is building a next-generation platform to modernize enterprise infrastructure, integrate complex systems, and unlock actionable business insights. As a Data Engineer, you will build scalable data pipelines, enable seamless data integration and migration, and ensure reliable, high-quality data across enterprise systems.
What you'll do
- Design, build, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources.
- Implement data quality frameworks, validation checks, and monitoring processes to ensure data accuracy, consistency, and reliability.
- Perform data profiling, cleaning, and transformation to identify and resolve data discrepancies.
- Develop and execute data migration strategies across databases, warehouses, and enterprise systems.
- Design and implement data integration solutions to consolidate information from diverse sources.
- Build and maintain data warehouse models and implement Medallion Architecture across Bronze, Silver, and Gold layers.
- Optimize data pipelines, SQL queries, and data processing workflows for performance, scalability, and reliability.
- Collaborate with cross-functional teams to understand business requirements and deliver reporting and analytics solutions.
- Contribute to data architecture and engineering best practices as the organization scales its AI-native enterprise platform.
Must have
3+ years of experience in Data Engineering or a closely related role. Strong proficiency in SQL and experience working with databases such as PostgreSQL, MySQL, or Snowflake. Hands-on experience designing, developing, and maintaining ETL/ELT pipelines for data ingestion, transformation, and loading. Strong understanding of data warehousing concepts, dimensional modeling, and modern data architectures. Experience with data cleaning, profiling, validation, quality checks, and resolving data discrepancies. Hands-on experience developing data migration strategies and moving data between different systems. Understanding of the Medallion Architecture, including Bronze, Silver, and Gold data layers. Experience with cloud platforms such as AWS, Azure, or GCP and their data services. Strong problem-solving skills and the ability to collaborate with cross-functional stakeholders.
Good to have
Proficiency in Python or other scripting languages for data manipulation and pipeline development. Experience with data orchestration tools such as Apache Airflow or Dagster. Familiarity with big data technologies such as Apache Spark or Hadoop. Experience with reporting and business intelligence tools such as Tableau or Power BI. Exposure to enterprise data integration across multiple sources and systems. Experience working in an early-stage startup or a fast-paced engineering environment. Familiarity with cloud-native data platforms and modern data stack tools. Experience optimizing pipeline performance, data processing costs, and warehouse efficiency