01Overview
Job Title: Data Engineer
Location: Remote
Headquarters: Development Center: We are seeking a Data Engineer with strong SQL and programming skills (Python/Scala/Java) to design, build, and optimize scalable data pipelines and data platforms. The ideal candidate has experience with ETL/ELT frameworks, distributed processing technologies such as Spark, and cloud-based data services. You will collaborate with cross-functional teams to deliver reliable, high-quality data solutions while ensuring performance, governance, and operational excellence.
Experience: 2 years
SQL proficiency (non-negotiable; At least one strong programming language (Python or Scala/Java)
Data pipeline/ETL-ELT tools (Airflow, dbt, Dagster, Luigi)
Cloud platforms (AWS, GCP, or Azure) and their data services (Redshift, BigQuery, Snowflake, Databricks)
Data modeling & architecture
Understanding of dimensional modeling, normalization, star/snowflake schemas
Experience with both batch and streaming architectures
Knowledge of data warehousing vs. data lake vs. Code quality: testing, modularity, documentation
Infrastructure-as-code (Terraform) and containerization (Docker, Kubernetes)
Understanding of data quality, observability, and monitoring
Evidence of handling scale (data volumes, latency requirements, cost optimization)
only writing isolated scripts
Awareness of data governance, lineage, and privacy/compliance
Collaboration with analysts, data scientists, and business stakeholders
Only coursework/certifications with no applied projects
Confusing data engineering with data analysis or pure ML work
Medical insurance for all permanent employees. .
