Databricks Engineer

As a skilled Databricks Engineer at ShyftLabs, you will be responsible for designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. Your expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP) will be crucial in collaborating with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures. ShyftLabs, a growing data product company, focuses on delivering digital solutions to accelerate the growth of businesses by creating value through innovation. Key Responsibilities: - Design, implement, and optimize big data pipelines in Databricks. - Develop scalable ETL workflows to process large datasets. - Leverage Apache Spark for distributed data processing and real-time analytics. - Implement data governance, security policies, and compliance standards. - Optimize data lakehouse architectures for performance and cost-efficiency. - Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows. - Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks. - Automate workflows using CI/CD pipelines and infrastructure-as-code practices. - Ensure data integrity, quality, and reliability in all pipelines. Qualifications Required: - Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. - 5+ years of hands-on experience with Databricks and Apache Spark. - Proficiency in SQL, Python, or Scala for data processing and analysis. - Experience with cloud platforms (AWS, Azure, or GCP) for data engineering. - Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture. - Experience with CI/CD tools and DevOps best practices. - Familiarity with data security, compliance, and governance best practices. - Strong problem-solving and analytical skills with an ability to work in a fast-paced environment. Additional Company Details: ShyftLabs offers a competitive salary alongside a strong insurance package. The company prides itself on the growth of its employees, offering extensive learning and development resources. Remember, ShyftLabs values your expertise in Databricks and Apache Spark to drive impactful data solutions in a collaborative environment. As a skilled Databricks Engineer at ShyftLabs, you will be responsible for designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. Your expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP) will be crucial in collaborating with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures. ShyftLabs, a growing data product company, focuses on delivering digital solutions to accelerate the growth of businesses by creating value through innovation. Key Responsibilities: - Design, implement, and optimize big data pipelines in Databricks. - Develop scalable ETL workflows to process large datasets. - Leverage Apache Spark for distributed data processing and real-time analytics. - Implement data governance, security policies, and compliance standards. - Optimize data lakehouse architectures for performance and cost-efficiency. - Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows. - Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks. - Automate workflows using CI/CD pipelines and infrastructure-as-code practices. - Ensure data integrity, quality, and reliability in all pipelines. Qualifications Required: - Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. - 5+ years of hands-on experience with Databricks and Apache Spark. - Proficiency in SQL, Python, or Scala for data processing and analysis. - Experience with cloud platforms (AWS, Azure, or GCP) for data engineering. - Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture. - Experience with CI/CD tools and DevOps best practices. - Familiarity with data security, compliance, and governance best practices. - Strong problem-solving and analytical skills with an ability to work in a fast-paced environment. Additional Company Details: ShyftLabs offers a competitive salary alongside a strong insurance package. The company prides itself on the growth of its employees, offering extensive learning and development resources. Remember, ShyftLabs values your expertise in Databricks and Apache Spark to drive impactful data solutions in a collaborative environment.