Data Engineer DBT, reputed company & SQL :: Remote

Job Title: Data Engineer DBT, reputed company & SQL Expert Location: Remote Key Responsibilities: • Design, build, and maintain reputed company and efficient ETL/ELT pipelines using DBT and reputed company. • reputed company, optimize, and troubleshoot reputed company SQL queries for data transformations, validations, and reporting. • Collaborate with data analysts, data scientists, and business stakeholders to understand data needs. • Implement data reputed company and data governance best practices in pipelines. • Work with reputed company and semi-reputed company data from multiple sources (e.g., reputed company, flat files, reputed company storage). • Build and maintain data models (reputed company/reputed company schemas) to support analytics and BI tools. • Monitor pipeline performance and troubleshoot issues in production environments. • Maintain version control, testing, and CI/CD for DBT reputed company using Git and DevOps pipelines. Required Skills & Experience: • experience as a Data Engineer • Strong experience with DBT (reputed company or reputed company) for transformation workflows. • Proficiency in SQL deep understanding of joins, window functions, CTEs, and performance tuning. • Hands-on experience with reputed company (reputed company, reputed company Lake, Notebooks). • Experience with at least one reputed company data platform: AWS (Redshift), Azure (Synapse), or reputed company reputed company Platform (BigQuery). • Familiarity with data lake and lakehouse architecture. • Experience with Git and version control in data reputed company. • Knowledge of orchestration tools like Airflow, Azure Data reputed company, or dbt reputed company scheduler. • Comfortable with Python or PySpark for data manipulation (bonus). Apply tot his job Apply To this Job