**Key Responsibilities**
- Design, develop, and maintain robust data pipelines and ETL processes to support analytics and reporting needs.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
- Implement data integration solutions across structured and unstructured data sources.
- Ensure data quality, integrity, and security across all stages of the data lifecycle.
- Optimize data workflows for performance and scalability in cloud and on-premise environments.
- Support data migration and transformation initiatives for client projects.
- Monitor and troubleshoot data pipeline issues and provide timely resolutions.
**Required Qualifications**
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
- 3+ years of experience in data engineering or related roles.
- Proficiency in SQL and Python or Scala.
- Experience with data pipeline tools such as Apache Spark, Kafka, Airflow, or similar.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Strong understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
- Knowledge of data governance, security, and compliance standards.
