3 Apache Stack Jobs

As a seasoned Manager - Data Engineering with 12-18 years of total experience in data engineering, including 3-5 years in a leadership/managerial role, you will lead complex data platform implementations using Databricks or the Apache data stack. Your key responsibilities will include leading high-impact data engineering engagements for global clients, delivering scalable solutions, and driving digital transformation. You must have hands-on experience in Databricks OR core Apache stack (Spark, Kafka, Hive, Airflow, NiFi, etc.) and expertise in one or more cloud platforms such as AWS, Azure, or GCP, ideally with Databricks on cloud. Strong programming skills in Python, Scala, and SQL are essential, along with experience in building scalable data architectures, delta lakehouses, and distributed data processing. Familiarity with modern data governance, cataloging, and data observability tools is also required. Your role will involve leading the architecture, development, and deployment of modern data platforms using Databricks, Apache Spark, Kafka, Delta Lake, and other big data tools. You will design and implement data pipelines (batch and real-time), data lakehouses, and large-scale ETL frameworks. Additionally, you will own delivery accountability for data engineering programs across BFSI, telecom, healthcare, or manufacturing clients. Collaboration with global stakeholders, product owners, architects, and business teams to understand requirements and deliver data-driven outcomes will be a key part of your responsibilities. Ensuring best practices in DevOps, CI/CD, infrastructure-as-code, data security, and governance is crucial. You will manage and mentor a team of 10-25 engineers, conducting performance reviews, capability building, and coaching. Supporting presales activities including solutioning, technical proposals, and client workshops will also be part of your role. At GlobalLogic, we prioritize a culture of caring and continuous learning and development. You'll have the opportunity to work on interesting and meaningful projects that have a real impact. We offer balance and flexibility, ensuring that you can achieve the perfect equilibrium between work and life. As a high-trust organization, integrity is key, and you can trust that you are part of a safe, reliable, and ethical global company. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences. As part of our team, you'll collaborate with forward-thinking companies to transform businesses and redefine industries through intelligent products, platforms, and services.,

We are looking for an experienced Manager Data Engineering with expertise in Databricks or the Apache data stack to lead complex data platform implementations. As the Manager Data Engineering, you will play a crucial role in spearheading high-impact data engineering projects for global clients, delivering scalable solutions, and catalyzing digital transformation. You should have a total of 12-18 years of experience in data engineering, with at least 3-5 years in a leadership or managerial capacity. Hands-on experience in Databricks or core Apache stack components such as Spark, Kafka, Hive, Airflow, NiFi, etc., is essential. Proficiency in one or more cloud platforms like AWS, Azure, or GCP is preferred, ideally with Databricks on the cloud. Strong programming skills in Python, Scala, and SQL are required, along with experience in building scalable data architectures, delta lakehouses, and distributed data processing. Familiarity with modern data governance, cataloging, and data observability tools is advantageous. Your responsibilities will include leading the architecture, development, and deployment of modern data platforms utilizing Databricks, Apache Spark, Kafka, Delta Lake, and other big data tools. You will design and implement data pipelines (batch and real-time), data lakehouses, and large-scale ETL frameworks, ensuring delivery accountability for data engineering programs across various industries. Collaboration with global stakeholders, product owners, architects, and business teams to understand requirements and deliver data-driven outcomes will be a key aspect of your role. Additionally, you will be responsible for ensuring best practices in DevOps, CI/CD, infrastructure-as-code, data security, and governance. Managing and mentoring a team of 10-25 engineers, conducting performance reviews, capability building, and coaching will also be part of your responsibilities. At GlobalLogic, we prioritize a culture of caring where people come first. You will have opportunities for continuous learning and development, engaging in interesting and meaningful work that makes an impact. We believe in providing balance and flexibility to help you integrate your work and life effectively. GlobalLogic is a high-trust organization built on integrity and ethical values, providing a safe and reliable environment for your professional growth and success. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with leading companies worldwide to create innovative digital products and experiences. Join us to be a part of transforming businesses and redefining industries through intelligent products, platforms, and services.,

We are looking for an experienced Manager - Data Engineering with a strong background in Databricks or the Apache data stack to lead the implementation of complex data platforms. In this role, you will be responsible for overseeing impactful data engineering projects for global clients, delivering scalable solutions, and steering digital transformation initiatives. With 12-18 years of overall experience in data engineering, including 3-5 years in a leadership position, you will need hands-on expertise in either Databricks or the core Apache stack (Spark, Kafka, Hive, Airflow, NiFi, etc.). Proficiency in at least one cloud platform such as AWS, Azure, or GCP, ideally with Databricks on the cloud, is required. Strong programming skills in Python, Scala, and SQL are essential, along with experience in constructing scalable data architectures, delta lakehouses, and distributed data processing. Familiarity with modern data governance, cataloging, and data observability tools is also necessary. You should have a proven track record of managing delivery in an onshore-offshore or hybrid model, coupled with exceptional communication, stakeholder management, and team mentoring abilities. As a Manager - Data Engineering, your key responsibilities will include leading the design, development, and deployment of modern data platforms utilizing Databricks, Apache Spark, Kafka, Delta Lake, and other big data tools. You will be tasked with designing and implementing data pipelines (both batch and real-time), data lakehouses, and large-scale ETL frameworks. Furthermore, you will take ownership of delivery accountability for data engineering programs across various industries, collaborating with global stakeholders, product owners, architects, and business teams to drive data-driven outcomes. Ensuring best practices in DevOps, CI/CD, infrastructure-as-code, data security, and governance will be crucial. Additionally, you will be responsible for managing and mentoring a team of 10-25 engineers, conducting performance reviews, capability building, and coaching, as well as supporting presales activities including solutioning, technical proposals, and client workshops. At GlobalLogic, we prioritize a culture of caring where people come first. We offer continuous learning and development opportunities to help you grow personally and professionally. You'll have the chance to work on interesting and meaningful projects that have a real impact. With various career areas, roles, and work arrangements, we believe in providing a balance between work and life. As a high-trust organization, integrity is at the core of everything we do. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences. Join us in collaborating with forward-thinking companies to transform businesses and redefine industries through intelligent products, platforms, and services.,