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Data Engineer
Data EngineerNTT DATA North America • Montreal, Montreal (administrative region), CA
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Data Engineer

Data Engineer

NTT DATA North America • Montreal, Montreal (administrative region), CA
30+ days ago
Job type
  • Full-time
Job description

Join to apply for the Data Engineer role at NTT DATA North America .

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry‑leading outsourcing services and automation. With our industry‑specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one‑time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy. 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.

Job Description

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 Services

    NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge‑to‑cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long‑term success. Visit nttdata.com or LinkedIn to learn more.

    NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

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    Data Engineer • Montreal, Montreal (administrative region), CA

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