Middle Data Engineer (Python, SQL, Database)

3-5 years in data engineering or a related field. Programming: Proficiency in Python (for data processing and automation) and SQL (for database queries & ETL). Good at Metabase Familiarity with data visualization tools like Tableau, Power BI for clear reporting. Data Tools: Experience with ETL tools like Apache Airflow, Talend, or Informatica. 2-4 years of hands-on experience building and maintaining data pipelines, managing large datasets, and performing data integration. Databases: Strong experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) and Data Warehousing (Redshift, Snowflake, Clickhouse). Cloud Platforms: Experience with AWS or other cloud-based solutions. Ability to quickly learn and adapt to new data technologies, including tools for Big Data (Hadoop, Apache Spark, or Kafka) and cloud based data storage solutions (S3, Redshift, BigQuery). Strong problem-solving and analytical thinking. Excellent collaboration and communication skills. Adaptability and eagerness to learn new technologies. Attention to detail and focus on data accuracy. Ownership and accountability in work deliverables