The Tech Consultant - Data & Cloud role involves supporting a leading international client with expertise in data engineering, cloud platforms, and big data technologies. As a skilled professional, you will contribute to large-scale data initiatives, implement cloud-based solutions, and collaborate with stakeholders to drive data-driven innovation. You will design scalable data architectures, optimize ETL processes, and leverage cloud technologies to deliver impactful business solutions. Key Responsibilities Data Engineering & ETL: Develop and optimize data pipelines using Apache Spark, Airflow, Sqoop, and Databricks for seamless data transformation and integration. Cloud & Infrastructure Management: Design and implement cloud-native solutions using AWS, GCP, or Azure, ensuring scalability, security, and performance. Big Data & Analytics: Work with Hadoop, Snowflake, Data Lake, and Hive to enable advanced analytics and business intelligence capabilities. Technical Excellence: Utilize Python, SQL, and cloud data warehousing solutions to drive efficiency in data processing and analytics. Agile & DevOps Best Practices: Implement CI/CD pipelines, DevOps methodologies, and Agile workflows for seamless development and deployment. Stakeholder Collaboration: Work closely with business and technology teams to translate complex data challenges into business-driven solutions. Required Qualifications & Skills 5 - 10 years of experience in data engineering, analytics, and cloud-based solutions. Strong knowledge of Big Data technologies (Hadoop, Spark, Snowflake, Hive, Databricks, Airflow, AWS). Experience with ETL pipelines, data lakes, and large-scale data processing. Proficiency in Python, SQL, and cloud data warehousing solutions. Hands-on experience in cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, CloudFormation). Familiarity with containerization (Docker, Kubernetes) and BI tools (Tableau, Power BI). Understanding of Agile, Scrum, and DevOps best practices. Strong communication, problem-solving, and collaboration skills. Why Join Us Work on impactful global data projects for a leading international client. Lucrative Retention Bonus: Up to 20% bonus at the end of the first year, based on performance. Career Growth & Training: Access to world-class learning in advanced cloud, AI, and analytics technologies. Collaborative & High-Performance Culture: Work in a dynamic environment that fosters innovation, leadership, and technical excellence. About Us We are a trusted technology partner specializing in enterprise data solutions, cloud transformation, and analytics-driven decision-making. Our expertise in big data, AI, and cloud infrastructure enables us to deliver scalable, high-value solutions to global enterprises.,
You are looking for a Technical Delivery Lead with deep expertise in data engineering, cloud platforms, and big data technologies to drive strategic and technical execution for a leading international client. This role demands a strong leader who can navigate complex data ecosystems, oversee large-scale data initiatives, and ensure seamless delivery of high-impact solutions. As a key decision-maker, you will lead high-performing teams, architect scalable data solutions, and collaborate with senior stakeholders to drive innovation and efficiency in data-driven decision-making. Your responsibilities will include overseeing the full lifecycle of data and analytics projects, defining and implementing data strategies, optimizing and managing ETL pipelines, architecting and implementing scalable, cloud-native solutions, driving the adoption of best-in-class data engineering tools and frameworks, establishing and overseeing Agile development practices, collaborating with business leaders and technology teams, and ensuring best practices in CI/CD, DevOps, and automated testing. To qualify for this role, you should have 10+ years of experience in data engineering, analytics, and cloud-based solutions, with at least 5+ years in a leadership role. You should also possess strong expertise in Big Data technologies, proven experience with ETL pipelines, proficiency in Python, SQL, and cloud data warehousing solutions, deep understanding of cloud computing platforms, hands-on experience in BI & analytics tools, and a strong grasp of Agile, Scrum, and DevOps best practices. Excellent communication, leadership, and stakeholder management skills are essential. By joining this team, you will have the opportunity to work on high-impact global data projects, be at the forefront of innovation in big data and cloud solutions, receive a lucrative retention bonus, access world-class training and career development, and be part of a collaborative, high-performance work culture that values innovation, leadership, and technical excellence. If you are a seasoned technology leader looking to make a significant impact in the data and analytics space, apply now to be a part of this trusted technology partner specializing in enterprise data solutions, cloud transformation, and analytics-driven decision-making.,