Job Summary: ​ As a Data Engineer, you will play a key role in designing, building, and maintaining the data infrastructure that powers our products and drives business insights. This is an opportunity to join a fast-moving, innovation-driven team where your work will directly impact how we leverage data to serve global enterprises. Key Responsibilities: • Design, build, and maintain scalable data pipelines and ETL/ELT processes. • Develop and optimize complex SQL queries, stored procedures, and database structures. • Create and manage data models, data warehouses, and data lakes. • Ensure data quality, integrity, and availability across systems. • Collaborate with analytics, product, and engineering teams to support data-driven decisions. • Monitor and troubleshoot data pipeline performance and reliability. • Document data architecture, processes, and best practices. Requirements • 3+ years of experience as a data engineer or similar role. • Expert-level proficiency in SQL (complex queries, performance tuning, database design). • Strong proficiency in Python for data processing and automation. • Solid understanding of data modeling, data warehousing concepts, and ETL/ELT methodologies. • Strong problem-solving skills, attention to detail, and ability to work independently. Nice to Have: • Experience with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake). • Familiarity with data orchestration tools (Airflow, dbt, Luigi, or similar). • Knowledge of data visualization tools (Tableau, Power BI, Looker). • Background in working with large-scale datasets and big data technologies.