Posted:-1 days ago|
Platform:
Hybrid
Full Time
We are looking for a Data Engineer to design, build, and maintain robust data pipelines and infrastructure that power analytics and reporting solutions.
This role focuses on ensuring data integrity, scalability, and availability for BI and advanced analytics.
Develop and maintain ETL/ELT pipelines to ingest, transform, and load data into cloud platforms (Snowflake, Databricks).
Collaborate with BI developers and analysts to ensure data models meet reporting needs.
Optimize data workflows for performance and cost efficiency. Implement data quality checks and monitoring processes.
Support integration of new data sources and automation initiatives.
Required Qualifications: 5+ years of experience in data engineering or related field. Proficiency in SQL and experience with data modeling. Hands-on experience with cloud data platforms (Snowflake, Databricks).
Familiarity with ETL tools and frameworks (dbt, Airflow). Strong problem-solving and debugging skills.
Preferred Qualifications:
Experience with scripting languages (Python). Knowledge of BI tools and how they consume data. Exposure to Agile development practices.
Apex Systems
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