GCP Data Engineer

Wipro•Phoenix, AZ

4d•Onsite

About The Position

Wipro is hiring a GCP Data Engineer to develop and optimize large-scale Big Data and analytics solutions, including data pipelines for processing, transforming, and analyzing data. The role supports banking products focused on Financial Crimes and Anti-Money Laundering, and partners with product and cross-functional teams to deliver technology solutions for Financial Crimes Compliance. The position is based in Charlotte or Phoenix and requires onsite work five days per week starting on day one.

Requirements

Bachelor’s or master’s degree in computer science, computer engineering, or another technical discipline, or equivalent work experience.
5+ years of hands-on software development experience with Big Data and analytics solutions.
5–8 years of experience.
Strong hands-on experience with PySpark; PySpark Open Source is listed as a mandatory skill.
Experience with Python, GCP, ETL, Big Data/data warehousing, data analytics, SQL, and Git.
Experience with GCP services and technologies including BigQuery, Airflow, DataProc, and Pub/Sub; Hadoop Hive, Spark, and shell scripting are also listed.
Proficiency in SQL and database systems, including designing and optimizing data models.
Knowledge of distributed, multi-tiered systems, algorithms, and relational databases.
Strong object-oriented programming skills and knowledge of design patterns.
Experience with CI/CD pipelines, automated test frameworks, and source code management tools.
Ability to learn, adopt, and build solutions using established enterprise Big Data frameworks.
Understanding of SDLC methodologies and familiarity with Agile and Scrum ceremonies.

Nice To Haves

Design and development experience with Airflow, Pub/Sub or Kafka, Git, and Jenkins.
Experience with configuration management tools such as GitHub.
Certifications in a cloud platform, such as GCP Professional Data Engineer.

Responsibilities

Design, develop, and optimize data pipelines for large-scale processing, transformation, and analysis using Big Data and GCP technologies.
Design and optimize data models for performance and scalability.
Build event-processing pipelines using Kafka or GCP Pub/Sub.
Provide engineering expertise to develop features for banking, including Financial Crimes and Anti-Money Laundering platforms.
Improve engineering practices by driving resilience, predictability, efficiency, and automation.
Partner with product teams to envision and deliver technology solutions that transform Financial Crimes Compliance.
Analyze complex data engineering problems, propose effective solutions, and implement them.
Look proactively for continuous-improvement opportunities.
Communicate effectively with product and cross-functional teams.
Learn and adopt enterprise frameworks and new technologies.