CloudWerx is looking for a dynamic SENIOR ENGINEER, DATA to become a vital part of our vibrant DATA ANALYTICS & ENGINEERING TEAM , working in HYDERABAD, INDIA . Join the energy and come be part of the momentum! As a Senior Cloud Data Engineer you will be at the forefront of cloud technology, architecting and implementing cutting-edge data solutions that drive business transformation. You'll have the opportunity to work with a diverse portfolio of clients, from innovative startups to industry leaders, solving complex data challenges using the latest GCP technologies. This role offers a unique blend of technical expertise and client interaction, allowing you to not only build sophisticated data systems but also to consult directly with clients, shaping their data strategies and seeing the real-world impact of your work. If you're passionate about pushing the boundaries of what's possible with cloud data engineering and want to be part of a team that's shaping the future of data-driven decision making, this is your chance to make a significant impact in a rapidly evolving field. Our goal is to have a sophisticated team equipped with expert technical skills in addition to keen business acumen. Each member of our team adds unique value to the business and the customer. CloudWerx is committed to a culture where we attract the best talent in the industry. We aim to be second-to-none when it comes to cloud consulting and business acceleration. This is an incredible opportunity to get involved in an engineering-focused cloud consulting company that provides the most elite technology resources to solve the toughest challenges. Each member of our team adds unique value to the business and the customer. CloudWerx is committed to a culture where we attract the best talent in the industry. We aim to be second-to-none when it comes to cloud consulting and business acceleration. This role is a full-time opportunity in our Hyderabad Office. INSIGHT ON YOUR IMPACT Lead technical discussions with clients, translating complex technical concepts into clear, actionable strategies that align with their business goals. Architect and implement innovative data solutions that transform our clients' businesses, enabling them to harness the full power of their data assets. Collaborate with cross-functional teams to design and optimize data pipelines that process petabytes of data, driving critical business decisions and insights. Mentor junior engineers and contribute to the growth of our data engineering practice, fostering a culture of continuous learning and innovation. Drive the adoption of cutting-edge GCP technologies, positioning our company and clients at the forefront of the cloud data revolution. Identify opportunities for process improvements and automation, increasing the efficiency and scalability of our consulting services. Collaborate with sales and pre-sales teams to scope complex data engineering projects, ensuring technical feasibility and alignment with client needs. YOUR QUALIFICATION, YOUR INFLUENCE To be successful in the role, you must possess the following skills Proven experience (typically 4-8 years) in data engineering, with a strong focus on Google Cloud Platform technologies. Deep expertise in GCP data services, particularly tools like BigQuery, Cloud Composer, Cloud SQL, and Dataflow, with the ability to architect complex data solutions. Strong proficiency in Python and SQL, with the ability to write efficient, scalable, and maintainable code. Demonstrated experience in data modeling, database performance tuning, and cloud migration projects. Excellent communication skills, capable of explaining complex technical concepts to both technical and non-technical stakeholders. Proven ability to work directly with clients, understanding their business needs and translating them into technical solutions. Strong project management skills, including experience with Agile methodologies and tools like Jira. Ability to lead and mentor junior team members, fostering a culture of knowledge sharing and continuous improvement. Track record of staying current with emerging technologies and best practices in cloud data engineering. Experience working in a consulting or professional services environment, with the ability to manage multiple projects and priorities. Demonstrated problem-solving skills, with the ability to think creatively and innovatively to overcome technical challenges. Willingness to obtain relevant Google Cloud certifications if not already held. Ability to work collaboratively in a remote environment, with excellent time management and self-motivation skills. Cultural sensitivity and adaptability, with the ability to work effectively with diverse teams and clients across different time zones. Our Diversity and Inclusion Commitment At CloudWerx, we are dedicated to creating a workplace that values and celebrates diversity. We believe that a diverse and inclusive environment fosters innovation, collaboration, and mutual respect. We are committed to providing equal employment opportunities for all individuals, regardless of background, and actively promote diversity across all levels of our organization. We welcome all walks of life, as we are committed to building a team that embraces and mirrors a wide range of perspectives and identities. Join us in our journey toward a more inclusive and equitable workplace. Background Check Requirement All candidates for employment will be subject to pre-employment background screening for this position. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process, please reach out to us directly. Our Story CloudWerx is an engineering-focused cloud consulting firm born in Silicon Valley - in the heart of hyper-scale and innovative technology. In a cloud environment we help businesses looking to architect, migrate, optimize, secure or cut costs. Our team has unique experience working in some of the most complex cloud environments at scale and can help businesses accelerate with confidence. Show more Show less