Data Engineer
Role details
Job location
Tech stack
Requirements
8+ years of experience in Data Engineering / Data Development Strong proficiency in Python and SQL Hands-on experience with ETL/ELT pipeline development and data integration Experience with big data technologies (Spark, PySpark, Hadoop) Strong experience with cloud platforms (Azure/AWS/Google Cloud Platform) Experience working with data warehousing solutions (Snowflake, Redshift, BigQuery, Azure Synapse) Strong understanding of data modeling, data architecture, and schema design Experience with data orchestration tools (Airflow, Azure Data Factory, etc.) Knowledge of streaming technologies (Kafka, Kinesis, etc.) Experience with data quality, governance, and security best practices Familiarity with CI/CD pipelines and DevOps practices Experience working with large-scale structured and unstructured datasets Strong analytical and problem-solving skills Excellent communication and ability to work with cross-functional teams