Data Engineer - Databricks

About the Company: At Syncredible Solutions, we believe in the transformative power of technology. we specialize in Digital transformation services, Enterprise solutions, Power BI Analytics solutions and staffing services. Job Summary: We are seeking an experienced Data Engineer with strong expertise in AWS and Databricks to design, develop, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate should have hands-on experience with big data technologies, ETL/ELT processes, and modern data engineering best practices. Required Skills • 10+ years of experience in Data Engineering • Strong hands-on experience with AWS services (S3, Glue, Lambda, EMR, Redshift, IAM, CloudWatch) • Extensive experience with Databricks • Strong programming skills in Python • Experience with Apache Spark / PySpark • Strong SQL skills and experience with relational databases • Experience building ETL/ELT pipelines • Knowledge of Delta Lake, Lakehouse architecture, and data modeling • Experience with Git, CI/CD, and Agile methodologies Responsibilities • Design, develop, and maintain scalable data pipelines using AWS and Databricks. • Build and optimize ETL/ELT workflows for large-scale data processing. • Develop data solutions using Python, Spark, and SQL. • Optimize Databricks workloads for performance and cost efficiency. • Integrate data from multiple sources into enterprise data platforms. • Monitor, troubleshoot, and improve data pipeline reliability. • Collaborate with data analysts, architects, and business stakeholders. • Implement data quality, governance, and security best practices. Equal Opportunity Statement: Syncredible Solutions is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.