GCP Data Engineer

GCP Data Engineer

Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

Job Description Location - Charlotte/Phoenix (DAY1 onsite) 5 Days WFO

Python, Pyspark, GCP, ETL - Big Data/Data Warehousing, Data Analytics, SQL, Git (GitHub, Git Lab, Bit Bucket, SVN)

Key Responsibilities:

• Details 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 team.
• 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

Mandatory Skills: PySpark Open Source. Experience: 5-8 Years. The expected compensation for this role ranges from $60,000 to $135,000 . Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law. Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.