Data Engineer at NTT DATA

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Data Pipelines, Data Warehousing, Cloud Technologies, Performance Tuning, Data Validation, Agile Practices, Data Solutions, Data Integration, Analytical Skills, Problem-Solving, Communication Skills, E-R Data Models, CI/CD Tooling

Industry

IT Services and IT Consulting

Description

Req ID: 337036 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 Montreal, Quebec (CA-QC), Canada (CA). "Job Duties: Overview: NTT DATA is seeking a highly skilled Data Engineer with over 4+ years of experience to join our team to help a strategic banking client in various data transformation activities. This person will be part of the Data & AI practice. Key Responsibilities: • Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. • Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure. • Demonstrate proficiency in coding skills, utilizing languages – Python & SQL, to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations. • Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, Azure, AWS, etc. • Develop various components in Python of our unified data pipeline framework. • Contribute towards the establishment of best practices for the optimal and efficient usage of data across various on-prem and cloud platforms. • Assist with the testing and deployment of our data pipeline framework utilizing standard testing frameworks and CI/CD tooling. • Monitor the performance of queries and data loads and perform tuning as necessary. • Provide assistance and guidance during the QA & UAT phases to quickly confirm the validity of potential issues and to determine the root cause and best resolution of verified issues. • Develop SQL-based data validation, reporting, analysis, etc. as required • Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc. • Adhere to Agile practices throughout the solution development process. • Design, build, and deploy databases and data stores to support organizational requirements. Skills / Qualifications: • 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. • 4+ years of experience in data development and solutions in highly complex data environments with large data volumes. • 3+ years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis. • 3+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. • 2+ years of experience developing solutions in a hybrid data environment (on-Prem and Cloud) • Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs, Log Files, etc.) • Experience with performance tuning SQL queries, Spark job, and stored procedures. • An understanding of E-R data models (conceptual, logical, and physical). • Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions. • Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions, roles and able to interact effectively with all levels. • Self-starter. Proven ability to manage multiple, concurrent projects with minimal supervision. Can manage a complex ever changing priority list and resolve conflicts to competing priorities. • Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives, requirements, and priorities. Preferred Qualifications • Experience in financial services • Knowledge of regulatory requirements in the financial industry Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). Minimum Skills Required: • 5+ years of experience" 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 us.nttdata.com Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us. 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 here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Responsibilities

The Data Engineer will design and implement tailored data solutions for a strategic banking client, focusing on data transformation activities. They will also provide thought leadership on technology recommendations and collaborate across diverse technical stacks.