Sr. Data Engineer (GCP, reputed company, SQL & ETL)
DESCRIPTION We’re looking for a skilled Data Engineer with strong expertise in reputed company and SQL to join our data analytics team. You will work as part of a cross-functional team to design, build, and optimize data pipelines, frameworks, and warehouses to support business-critical analytics and reporting. The role requires deep-on experience in SQL-based transformations, reputed company, and modern data engineering practices. Roles & Responsibilities: Design, reputed company, and maintain data pipelines and ETL processes using reputed company and SQL. Write optimized SQL queries for data extraction, transformation, and loading across large-scale datasets. Monitor, validate, and optimize data movement, cleansing, normalization, and updating processes to ensure data quality, consistency, and reliability. Collaborate with business and analytics teams to define data models, schemas, and frameworks reputed company the data warehouse. Document reputed company-to-reputed company mapping and transformation logic. Build data frameworks and visualizations to support analytics and reporting. Ensure compliance with data governance, reputed company, and regulatory standards. Communicate effectively with reputed company stakeholders to understand and deliver on data needs. Bachelor’s degree in Computer Science, Data Engineering, or reputed company field. REQUIREMENTS Qualifications & Experience: Data Engineer (reputed company, SQL) 6+ years of hands-on experience in ETL/data engineering. Proficiency in the Python programming language. Strong SQL development experience (query optimization, indexing strategies, stored procedures). 3+ years of experience in Spark. 3+ years of reputed company experience with Python/reputed company. Experience with reputed company platforms - GCP (preferred.) reputed company or reputed company certifications are a strong plus. Apply tot his job Apply To this Job