Data Engineer
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Job Description
Data Engineer building scalable cloud data pipelines for People10’s digital transformation solutions. Integrating databases, APIs, SaaS applications, and analytics platforms.
Responsibilities:
- Work closely with the Data Engineering Lead to implement the target data architecture
- Develop and maintain scalable data ingestion and transformation pipelines
- Integrate data from databases, APIs, SaaS applications, files, and cloud platforms
- Implement data validation, quality checks, reconciliation, and monitoring
- Perform source data analysis and troubleshoot pipeline, data, and performance issues
- Support POCs, technical evaluations, testing, UAT, deployments, and production stabilization
- Participate in code reviews and maintain technical documentation
- Take ownership of assigned components and contribute to end-to-end solution delivery
Requirements:
- 3–4 years of hands-on experience in Data Engineering, ETL/ELT, data integration, and building data pipelines
- Experience working with cloud-based data platforms and modern data architectures
- Strong SQL skills, including joins, CTEs, window functions, aggregations, transformations, and query optimization
- Experience with Python for data processing, automation, pipeline development, debugging, and error handling
- Understanding of ETL/ELT, batch and incremental processing, data modeling, data quality, validation, and reconciliation
- Hands-on experience with AWS, Azure, or GCP, including cloud storage, compute, and access management
- Experience with Snowflake preferred; alternatively Databricks, Redshift, Synapse, or BigQuery
- Understanding of data loading, transformation, and performance optimization
- Experience integrating databases, APIs, SaaS applications, files, and cloud storage
- Knowledge of REST APIs, JSON, authentication, and error handling
- Experience with Airflow, Azure Data Factory, AWS Glue, or equivalent orchestration tools
- Experience with Git, logging, monitoring, troubleshooting, and production support
- Exposure to dbt, streaming/event-driven architectures, CI/CD, and Docker preferred or advantageous
- Understanding of analytical data modeling and datasets for reporting and self-service analytics
- Good communication and problem-solving skills
- Ability to work independently while collaborating closely with the Data Engineering Lead
Benefits:
- Exceptional work environment surrounded by helpful colleagues
- Open door policy and constant connection with leadership team
- Opportunities for skill development through diversified learning initiatives, including code combat, meetups, and knowledge booster sessions
- Collaboration with teammates across geographies
- Autonomy and creative freedom
- Opportunity to make a visible impact
- Learning, upskilling, and leadership opportunities
- Equal opportunity workplace and commitment to diversity
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