Data Engineer Expert in Big Data Solutions and Analytics

Transform data into impactful solutions as a Data Engineer. Leverage your expertise in Apache Spark, SQL, and cloud platforms in a hybrid work environment to drive insights.

This is a significant role for a seasoned Data Engineer focusing on designing, developing, and optimizing data solutions. You will collaborate with cross-functional teams, utilizing tools like Databricks and cloud services (AWS, Azure, or GCP) to enhance data architectures. Your contributions will ensure high-performance data processing and governance standards.

Key Responsibilities:

• Design and optimize big data pipelines in Databricks

• Develop scalable ETL workflows for large datasets

• Leverage Apache Spark for real-time analytics

• Implement data governance and security policies

• Monitor and troubleshoot Databricks clusters and jobs

Requirements:

• Bachelor’s or Master’s in Computer Science or related field

• 5+ years of experience with Databricks and Apache Spark

• Proficiency in SQL and Python for data analysis

• Experience with cloud platforms for data engineering

• Strong problem-solving skills for fast-paced tasks.

Use your skills to drive data excellence and make a substantial impact on business outcomes. #J-18808-Ljbffr