Role Summary
Zimozi Solutions is hiring a Data Engineer with 2+ years of hands-on experience in building and maintaining data pipelines, data lakes, and analytics-ready datasets. The role requires strong SQL, Python, and cloud exposure.
Key Responsibilities
Build and maintain ETL / ELT data pipelines
Design and manage data lakes and warehouses
Integrate data from APIs, databases, and flat files
Write and optimize complex SQL queries
Ensure data quality, reliability, and performance
Support analytics and BI reporting needs
Work closely with product and engineering teams
Mandatory Skills (Must-Have)
2+ years experience in Data Engineering
Strong SQL (joins, CTEs, aggregations, performance tuning)
Python for data processing and automation
Experience with Cloud platforms (AWS / Azure / GCP)
Hands-on with data warehouses (Redshift, BigQuery, Snowflake, etc.)
Understanding of ETL / ELT concepts
Data modeling knowledge (fact, dimension tables)
Good to Have (Preferred)
Apache Airflow / DBT
Streaming or real-time data (Kafka, Kinesis, Pub/Sub)
BI tools: Power BI, QuickSight, Looker
Basic knowledge of data security and access controls
Experience in SaaS or startup environments
Benefits:
Health insurance
Work Location: Remote