Alabama Staffing
Databricks Data Engineer - Senior - Consulting - Location Open
Alabama Staffing, Montgomery, Alabama, United States, 36136
Senior Consultant Data Engineer
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. Your key responsibilities include: designing, building, and operating scalable on-premises or cloud data architecture; analyzing business requirements and translating them into technical specifications; optimizing data flows for target data platform designs; and collaborating with clients to understand their data needs and provide tailored solutions that meet their business objectives. To qualify for the role, you must have a Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred. Typically, no less than 2-4 years relevant experience in data engineering, with a focus on cloud data solutions. Expertise in Databricks and experience with Spark for big data processing. Proven experience in at least two end-to-end data engineering implementations, including implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. Strong programming skills in languages such as Python, Scala, or SQL. Experience with data modeling, ETL processes, and data warehousing concepts. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills, with a focus on client management. We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. Join us in our team-led and leader-enabled hybrid model. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis.
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. Your key responsibilities include: designing, building, and operating scalable on-premises or cloud data architecture; analyzing business requirements and translating them into technical specifications; optimizing data flows for target data platform designs; and collaborating with clients to understand their data needs and provide tailored solutions that meet their business objectives. To qualify for the role, you must have a Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred. Typically, no less than 2-4 years relevant experience in data engineering, with a focus on cloud data solutions. Expertise in Databricks and experience with Spark for big data processing. Proven experience in at least two end-to-end data engineering implementations, including implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. Strong programming skills in languages such as Python, Scala, or SQL. Experience with data modeling, ETL processes, and data warehousing concepts. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and interpersonal skills, with a focus on client management. We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. Join us in our team-led and leader-enabled hybrid model. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis.