3 Lakeformation Jobs

As a Data Platform developer at Barclays, you will play a crucial role in shaping the digital landscape and enhancing customer experiences. Leveraging cutting-edge technology, you will work alongside a team of engineers, business analysts, and stakeholders to deliver high-quality solutions that meet business requirements. Your responsibilities will include tackling complex technical challenges, building efficient data pipelines, and staying updated on the latest technologies to continuously enhance your skills. To excel in this role, you should have hands-on coding experience in Python, along with a strong understanding and practical experience in AWS development. Experience with tools such as Lambda, Glue, Step Functions, IAM roles, and various AWS services will be essential. Additionally, your expertise in building data pipelines using Apache Spark and AWS services will be highly valued. Strong analytical skills, troubleshooting abilities, and a proactive approach to learning new technologies are key attributes for success in this role. Furthermore, experience in designing and developing enterprise-level software solutions, knowledge of different file formats like JSON, Iceberg, Avro, and familiarity with streaming services such as Kafka, MSK, Kinesis, and Glue Streaming will be advantageous. Effective communication and collaboration skills are essential to interact with cross-functional teams and document best practices. Your role will involve developing and delivering high-quality software solutions, collaborating with various stakeholders to define requirements, promoting a culture of code quality, and staying updated on industry trends. Adherence to secure coding practices, implementation of effective unit testing, and continuous improvement are integral parts of your responsibilities. As a Data Platform developer, you will be expected to lead and supervise a team, guide professional development, and ensure the delivery of work to a consistently high standard. Your impact will extend to related teams within the organization, and you will be responsible for managing risks, strengthening controls, and contributing to the achievement of organizational objectives. Ultimately, you will be part of a team that upholds Barclays" values of Respect, Integrity, Service, Excellence, and Stewardship, while embodying the Barclays Mindset of Empower, Challenge, and Drive in your daily interactions and work ethic.,

As a Data Platform Engineer Lead at Barclays, your role is crucial in building and maintaining systems that collect, store, process, and analyze data, including data pipelines, data warehouses, and data lakes. Your responsibility includes ensuring the accuracy, accessibility, and security of all data. To excel in this role, you should have hands-on coding experience in Java or Python and a strong understanding of AWS development, encompassing various services such as Lambda, Glue, Step Functions, IAM roles, and more. Proficiency in building efficient data pipelines using Apache Spark and AWS services is essential. You are expected to possess strong technical acumen, troubleshoot complex systems, and apply sound engineering principles to problem-solving. Continuous learning and staying updated with new technologies are key attributes for success in this role. Design experience in diverse projects where you have led the technical development is advantageous, especially in the Big Data/Data Warehouse domain within Financial services. Additional skills in enterprise-level software solutions development, knowledge of different file formats like JSON, Iceberg, Avro, and familiarity with streaming services such as Kafka, MSK, and Kinesis are highly valued. Effective communication, collaboration with cross-functional teams, documentation skills, and experience in mentoring team members are also important aspects of this role. Your accountabilities will include the construction and maintenance of data architectures pipelines, designing and implementing data warehouses and data lakes, developing processing and analysis algorithms, and collaborating with data scientists to deploy machine learning models. You will also be expected to contribute to strategy, drive requirements for change, manage resources and policies, deliver continuous improvements, and demonstrate leadership behaviors if in a leadership role. Ultimately, as a Data Platform Engineer Lead at Barclays in Pune, you will play a pivotal role in ensuring data accuracy, accessibility, and security while leveraging your technical expertise and collaborative skills to drive innovation and excellence in data management.,

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Engineer to join our team in Ban/Hyd/Chn/Gur/Noida, Karn?taka (IN-KA), India (IN). 5 years experience in Spark Scala Sqoop Github SQL AWS Services: EMR, S3, LakeFormation, Glue, Athena, Lambda, Step Functions ControlM Cloudera services: hdfs, Hive, Impala Confluence, Jira, ServiceNow About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.