Data Engineer (Databricks, SQL)

ROle: Data Engineer (Databricks, SQL) No. of positions: 1 Client Location: On Shore, US Mode of work: Remote Work Time Zone: EST or CST About the Job Summary: We’re looking for a skilled Data Engineer with strong expertise in Databricks 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, Databricks, and modern data engineering practices. Experience: • 6+ years of relevant experience or equivalent education in ETL processing/data engineering or related field. • 4+ years of experience with SQL development (complex queries, performance tuning, stored procedures). • 3+ years of experience building data pipelines on Databricks/Spark (Python/Scala). • Exposure to cloud data platforms(Azure/AWS/GCP) is a plus. Roles & Responsibilities: • Design, develop, and maintain data pipelines and ETL processes using Databricks 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 processesto ensure data quality, consistency, and reliability. • Collaborate with business and analytics teams to define data models, schemas, and frameworks within the data warehouse. • Document source-to-target mapping and transformation logic. • Build data frameworks and visualizationsto support analytics and reporting. • Ensure compliance with data governance,security, and regulatory standards. • Communicate effectively with internal and externalstakeholders to understand and deliver on data needs. Qualifications & Experience: • Bachelor’s degree in Computer Science, Data Engineering, • 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 Databricks experience with Python/Scala. • Experience with cloud platforms(Azure/AWS/GCP) preferred. • Databricks or cloud certifications(SQL, Databricks, Azure Data Engineer) are a strong plus.