Data engineer

Must-Have Skills & Experience:

· 3-5+ years of experience in data engineering or a similar role

· Strong hands-on expertise in Databricks (Spark, Delta Lake, Notebooks)

· Proficient in Python for data processing, scripting, and automation

· Solid experience with AWS infrastructure (S3, Lambda, Glue, EC2, IAM, etc.)

· Proven track record in building and maintaining data pipelines (ETL/ELT) for structured and unstructured data

· Familiarity with data quality, performance optimization, and orchestration tools (e.g., Airflow, DBT)

Nice to Have:

· Exposure to machine learning or AI workflows (e.g., feature engineering, model deployment pipelines)

· Experience working in MLOps or data science enablement teams

· Familiarity with ML frameworks like scikit-learn, TensorFlow, or PyTorch