Job Title: GCP Data Engineer
Location: Charlotte, NC (Onsite)
Job Type: Contract
Visa: Only H1
Rate: $55/Hr. on C2C (Max. /Non-Negotiable)
Job Description:
- 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.
- Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
- 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
- Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.
- Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
- Looks proactively beyond the obvious for continuous improvement opportunities.
- Communicates effectively with product and cross functional teams.
- Willingness to learn new technologies and leverage them to their optimal potential.
- Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
- Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
- 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
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