Cloud Engineer -ETL
- NTT Global Delivery
- 2 to 7 Yrs
- Multi-City, India
- 4 years ago
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Job Description
Req ID:156031
NTT DATA Services 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 Cloud Engineer -ETL to join our team in Remote, Karn taka (IN-KA), India (IN).
About us:NTT DATA Services advises, architects, selects, and implements solutions for clients so that they may e ciently run their businesses, with a focus on data analytics in the Cloud. These service areas span IoT, Solution Architecture, data engineering, analytics, AI, ML, and DevOps.
We are looking for a savvy Cloud Data Engineer to join our growing NTT DATA Services team of data professionals. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data ow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Cloud Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be quick learners, self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company s data architecture to support our next generation of products and data initiatives.
Major Duties & Responsibilities:- Develop, construct, test and maintain ETL/ELT architectures
- Work with Architects to ensure development work aligns with business requirements
- Data acquisition and ingestion for data at rest or streaming data
- Develop data set processes
- Use programming language and tools
- Identify ways to improve data reliability, e ciency and quality
- Conduct research for industry and business questions
- Use large data sets to address business issues
- Possiblydeploy sophisticated analytics programs, machine learning and statistical methods
- Prepare data for predictive and prescriptive modeling
- Find hidden patterns using data
- Usedatatodiscovertasksthat can be automated
- Deliver updates to stakeholders based on analytics
- Must be an excellent communicator in terms of status and raising issues that might impact projects to either project or account management
- While not engaged, work on internal projects and learning exercises to
- Extend your technical knowledge and skills by working with standard stack and new tools
- Work on internal tech aimed to help build new technical practices
- Participation is encouraged to assigned training and obtain certi cations as identi ed by the ITT department and/or NTT DATA Services Professional Growth Manager
- High level of personal initiative and energy
- Verygoodverbalandwrittencommunicationskills
- Capableofworkingautonomously with minimal oversight
- Willing to raise issues to NTT DATA Services or client management as required, clearly de ning the issue and potential solutions
- Common sense approach to problems
- Capable of adapting written processes when required and capturing improvements to the process for later review
- Experience with implementing cloud data warehouses Snow ake, AWS Redshift, Azure SQL Data Warehouse, or Google BigQuery experience considered
- Experience with building data pipelines - using a variety of di erent technologies; Azure Data Factory, Matillion, DBT, Python & Spark,
- Candidates must have direct work experience developing and deploying at least one project where they implemented the full cloud data pipeline documented on their resume
- Strong understanding of SQL (2-4 years)
- Experience developing with Python (2-3 Years)
- Need to have a good understanding of Software engineering principles around Object OrientedProgramming&SOLIDprinciples.
- Experiencegatheringandtrackingrequirements
- Experience with DevOPS, ie. (Git +CI/CD + IaC)
- Experience with Docker containers, including containerizing services and deploying containers in a cloud environment
- Open-sourcecontributions of any sort
- Experience with BI platforms such as SpotFire, Tableau, PowerBI, Zoomdata, SuperSet, etc.
- Data cataloging and governance techniques
- Strong Agile methodology knowledge
- Candidates must be available to travel up to two weeks per month on a regular basis, with occasional periods of 2 to 3 weeks per month based on speci c client requirements
About NTT DATA Services
NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.
NTT DATA Services is an equal opportunity employer and will consider all qualified applicants for employment without regard to race, gender, disability, age, veteran-status, sexual orientation, gender identity, or any other class protected by law. To learn more, please visit https://us.nttdata.com/en/about-us/content/diversity-and-inclusion . Furthermore, NTT DATA Services will make accommodations for eligible applicants on a case-by-case basis. Please email EE*******r@nt****a.com for assistance.
Job Segment: Cloud, Consulting, Database, SQL, Testing, Technology
Employement Category:
Employement Type: Full timeIndustry: IT - SoftwareRole Category: Network / System AdministrationFunctional Area: Not ApplicableRole/Responsibilies: Cloud Engineer -ETLContact Details:
Company: NTT Global DeliveryLocation(s): Multi-City, India
NTT Global Delivery
NTT DATA Services partners with clients to navigate and simplify the modern complexities of business and technology, delivering the insights, solutions and outcomes that matter most. As a division of NTT DATA Corporation, a top 10 global IT services and consulting provider, we wrap deep industr...
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