Senior Data Python Developer/Engineer

NTT DATA, Inc.; Montreal; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

A leading technology services company is seeking a Senior Data Python Developer/Engineer to join their Montreal office. This role involves building a next-gen data platform, primarily focusing on the development of a unified data pipeline using advanced technologies like Python, Airflow, Snowflake, and Spark. The ideal candidate will possess extensive experience in data development and demonstrate strong problem-solving abilities. Join a dynamic team dedicated to innovation and quality.

Qualifications

• 10+ years of experience in data development in complex environments.
• 7+ years of SQL experience with ability to write complex queries.
• Hands-on experience with Apache Spark and Snowflake.

Responsibilities

• Develop various components of the unified data pipeline framework.
• Contribute towards best practices for Airflow, DBT, and Snowflake.
• Monitor performance of queries and data loads.

Skills

Python

SQL

Airflow

Snowflake

Spark

Data Pipeline Development

Data Analysis

Problem-solving

Education

Bachelor’s degree in Computer Science

Job description

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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 Senior Data Python Developer/Engineer to join our team in Montreal, Quebec (CA-QC), Canada (CA).

As a Senior Python Data Platform Engineer, you will be a member of the C3 Data Warehouse team with a focus on building our next-gen data platform used for sourcing and storing data from different technology systems across the firm into a centralized data platform that empowers various reporting and analytics solutions for the Technology Risk functions within Morgan Stanley. In this role you will be primarily responsible for contributing to the development of a unified data pipeline framework written in Python utilizing technologies such as Airflow, DBT, Spark and Snowflake. You will also be responsible for contributing to the integration of this framework with existing internal platforms for data quality, data cataloging, data discovery, incident logging, and metric generation. You will be working closely with data warehousing leads, data analysts, ETL developers, infrastructure engineers, and data analytics teams to facilitate the implementation of this data platform and data pipeline framework.

KEY RESPONSIBILITIES:

· To develop various components in Python of our unified data pipeline framework.

· To contribute towards the establishment of best practices for the optimal and efficient usage of Airflow, DBT and Snowflake.

· To assist with the testing and deployment of our data pipeline framework utilizing standard testing frameworks and CI/CD tooling.

· To monitor the performance of queries and data loads and perform tuning as necessary.

· To 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.

SKILLS / QUALIFICATIONS:

· Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field required.

· At least 10 years of experience in data development and solutions in highly complex data environments with large data volumes.

· At least 7 years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.

· At least 7 years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc.

· At least 3 years of experience developing solutions in a hybrid data environment (on-Prem and Cloud)

· At least 3 years of experience developing Airflow DAGs to orchestrate data pipelines that utilize branching, dynamic DAG / task generation, and error handling.

· 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.)

· Hands on experience with Snowflake a must.

· Hands on experience with Apache Spark a must.

· Hands on experience with Airflow (or similar tools like Dagster) a must.

· Hands on experience with DBT preferred.

· Experience with performance tuning SQL queries, Spark job, and stored procedures.

· An understanding of E-R data models (conceptual, logical, and physical).

· Position is hybrid, so must reside or relocate to Montreal.

Preferred Skills:

· Understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal \ Bi-Temporal models, etc.) a plus.

· 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.

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 atus.nttdata.com

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 .

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