Responsibilities

Design, build, and maintain batch and real-time data pipelines.

Develop ETL/ELT processes and integrate data from multiple sources.

Support data warehouse, data lake, and lakehouse platforms.

Monitor data quality, performance, and system reliability.

Troubleshoot data issues and collaborate with technical and business teams.

Qualifications

Bachelor's degree in Computer Science, IT, Engineering, or related fields.

At least 1-5 years of experience in Data Engineering, Database, or related roles.

Strong SQL skills and proficiency in Python, Scala, or Java.

Experience with relational databases and ETL/ELT tools.

Experience with AWS, Azure, or Google Cloud Platform.

Familiarity with Snowflake, BigQuery, Redshift, Synapse, Databricks, Airflow, dbt, Spark, or Kafka.

Knowledge of Git, CI/CD, testing, monitoring, and data-quality practices.