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Lead Data Engineer

10.00 to 15.00 Years   Bangalore   13 Jan, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryLogistics / Courier / Transportation
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Maersk is a $30bn organization with 100,000 people that move 20% of the world s trade, and it is the largest shipping and logistics company in the world. We are transforming our company into a global integrator of container logistics. We are offering you a unique opportunity to be part of that journey and to contribute by creating solutions for an industry leading organization. As a part of this process, you will have an opportunity to participate in a global IT transformation program that will set the direction of the future business model for this large global corporation.As a performance-oriented company, we strive to always recruit the best person for the job - regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams.At A.P. Moller - Maersk we focus on the individual s development and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress.As an organization with global presence, joining Maersk is a wonderful and exciting opportunity for you to work with people of diverse talents & background. We offer a fast paced, challenging and truly international atmosphere with activities and teams spread around the globe in Copenhagen, London, Charlotte, and India. The environment is dynamic with focus on high performance, results, and respect for our employees. There will be the possibility of continuous professional and personal development and for expanding a professional and social network. As a company, we are committed to growing our people. We will provide you with opportunities that broaden your knowledge and strengthen your professional & technical skills.Maersk Digital team is committed to extracting patterns and insights from data by the application of domain expertise, tools and technology, and is specialized in statistical modeling, machine learning and digital solutions development. The team is at the forefront of developing industry leading digital solutions & applications for the organization.This is an extremely exciting time to join a fast paced, growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics.Show More We offerMaersk is on a digital journey and entire company is going through major transformation. BI department are front runners within One Technology on a fully agile delivery model moving from a classic data warehouse into cloud based big data platform. Joining Maersk T&L will embark you on a great journey with career development in a glob-al organisation. As Senior Data Engineer you will gain broad business knowledge of the company s activities globally, as well as understand how data supports the transport and logistics business. You will work and communicate across geographical and cultural borders that will enable you to build a strong professional network. We will provide you with opportunities to broaden your knowledge and strengthen your technical and professional foundation. We aim to be a world-class professional organisation that delivers business value through automation, standardisation and innovation. We believe in empowerment where each of us takes ownership and responsibility for developing and implementing new ways of working.Show More Key responsibilitiesBeing a Mentor and Lead Engineer driving delivery on critical data products and mentor rest of software engineers of the members on the team Ensure high-quality output from engineering team, including setting coding standards and practices. Partner with the Data platform Product Owner to create a product roadmap and execute through agile processes. Collaborate with Principal Architect and software delivery teams to prevent overlapping work and coordinate on interoperability requirements. Work with other product engineering teams to ensure a consistent software ecosystem. Assist in architectural design and make decisions around technology and implementation decisions. Able to conceptualize and able to implement the data stream ecosystems and drive requirements. Understand and able to solve canonical models, align across various product teams and get the common objects defined, responsible for plan and delivery. An opportunity to join the big data implementation at an early stage and have huge impact on the implementation and design. Working close with business in an agile delivery model to make sure as much business value as possible is coming from the solutions.Show More We are looking forMust Have 10+yrs of experience complex data systems, data engineering technologies, architecture, and processes. Specifically, Azure Data Lake, Hadoop ecosystem, Kafka, and common third-party integration and orchestration tools. Good knowledge of any Cloud eco system Azure, AWS, GCP or Cloud Foundry Good knowledge of Big Data Ecosystem-Spark, Hadoop, Databricks Work with senior management and peers to develop practices which lead to the highest quality products and contribute transformation change within the cloud Experience building large scale data processing ecosystems with real time and batch style data as input using big data technologies Experience in any programming language like Java, Scala or Python. Exposure to agile methodology and proven ability to technically lead a team of engineers across geographies. Implement Data Quality,Data Governance on Azure Cloud ecosystem Good instincts around technical architecture, including metadata ,Rest API Integrations,Data API and Solution design of NoSQL and File systems. Willingness and ability to invest in engineering growth. Strong communication skills and ability to coordinate across a diverse group of technical and non-technical stakeholders.Show More,

Keyskills :
sqljavadata warehousinginformaticapythonbig datadata qualitymusic makingcloud foundrydata processingdata governancesolution designmachine learningdata engineering

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