Cloud BigData Engineer

Delan Associates•Charlotte, NC

20d

About The Position

We are seeking a Cloud BigData Engineer with 5+ years of hands-on software development experience in Big Data & Analytics solutions, specifically on GCP Cloud. The role involves designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis. You will leverage technologies like Big Query, Airflow, DataProc, PubSub, Hadoop, Hive, Spark, and Python. A strong understanding of SQL, database systems, event processing pipelines (Kafka or GCP PubSub), and distributed systems is crucial. The position requires strong Object-Oriented Programming skills, experience with CICD pipelines, and a proactive approach to problem-solving and continuous improvement. You will collaborate with product and cross-functional teams, communicate effectively, and be willing to learn and adopt new technologies. Familiarity with Agile & Scrum methodologies is expected. This role will provide engineering expertise for developing features for Banking platforms, including Financial Crimes and Anti-money Laundering, and will partner with product teams to transform Financial Crimes Compliance using technology.

Requirements

BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.
5+ years of hands-on software development experience with Big Data & Analytics solutions.
GCP Cloud - Big Query, Airflow, DataProc, PubSub.
Hadoop Hive, Spark, Python, shell scripting.
Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
Experience of building event processing pipelines with Kafka or GCP PubSub.
Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
Strong Object-Oriented Programming skills and design patterns.
Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
Good knowledge and experience with configuration management tools like GitHub.
Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.

Nice To Haves

Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
Certifications in cloud platform (GCP Professional Data Engineer) is a plus.

Responsibilities

Design, develop, and optimize data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
Build event processing pipelines with Kafka or GCP PubSub.
Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money Laundering platforms.
Improve engineering practices, including driving resilience, predictability, and end efficiency through automation.
Partner with product teams to envision and deliver solutions which transform Financial Crimes Compliance using technology.
Analyze complex data engineering problems, propose effective solutions, and implement them effectively.
Learn, adopt, and build solutions using the Enterprise frameworks established for Big Data.
Proactively look beyond the obvious for continuous improvement opportunities.
Communicate effectively with product and cross-functional teams.
Learn new technologies and leverage them to their optimal potential.