Senior Data Engineer (Python, SQL)

Educational Level:Bachelor’s degree in information technology, business, or related field, or equivalent combination of education and experience requiredKnowledge & Experiences:3+ years of experience as a Data Engineer with strong ETL/ELT pipeline development.Advanced proficiency in SQL and data modeling for large-scale systems.Hands-on experience with cloud data platforms (Databricks, BigQuery, Redshift, Snowflake or Spark-based solutions).Familiarity with CDP/CRM ecosystems and integration with marketing platforms (Facebook Ads, Google Analytics, Criteo, RTB House).Practical experience with workflow orchestration (DBT, Airflow, or equivalent).Technical Skills: Advanced SQL (queries, tuning, optimization); strong Python (data processing, automation, APIs); Scala/Java for Spark is a plus.Experience with Databricks, Spark, or similar; cloud data warehouses (Databricks, BigQuery, Synapse, Snowflake); orchestration tools (DBT, Airflow, etc.).Building ETL/ELT pipelines for structured/unstructured data; real-time streaming (Kafka, Pub/Sub, EventHub); CRM/CDP and API integrations.Knowledge of lineage, catalog, and metadata management; hands-on with frameworks like Great Expectations or Soda.CI/CD for data engineering (Git, GitHub Actions, Azure DevOps); exposure to Docker/Kubernetes.Soft Skills:Effective communicator, able to bridge technical and business stakeholders.Analytical mindset with strong troubleshooting skills; proactive in identifying risks, gaps, and proposing solutions.Curious and open to new technologies, eager to adopt best practices and experiment with new tools for efficiency.