Senior Python Engineer with PySpark Expertise
2 weeks ago
We are in search of a Senior Python Engineer with expertise in PySpark.
Location: Remote opportunities available
Our Mission
We are on the lookout for a seasoned Python Engineer who possesses a solid foundation in PySpark to become a vital part of our data engineering division. The ideal candidate will exhibit a comprehensive understanding of large-scale data processing, hands-on experience with Apache Spark, and a demonstrated history of proficiency in Python programming. Your role will encompass the development of scalable data processing and analytical solutions within a cloud framework.
Key Responsibilities:
- Architect, construct, and sustain scalable and effective data processing pipelines utilizing PySpark.
- Create high-performance algorithms, predictive models, and proof-of-concept prototypes.
- Collaborate closely with data scientists and analysts to convert data into actionable insights.
- Develop reusable, testable, and efficient Python code.
- Enhance data retrieval processes, and generate dashboards and reports for business stakeholders.
- Implement data ingestion, cleansing, deduplication, and consolidation methodologies.
- Utilize cloud-based big data services and architectures (AWS, Azure, or GCP) for handling extensive datasets.
- Work with cross-functional teams to define and refine data and analytics requirements.
- Ensure systems comply with business needs and industry standards for security and privacy.
- Stay informed about the latest advancements in big data technologies and PySpark improvements.
Qualifications:
The Ideal Candidate:
- Holds a Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
- Possesses a minimum of 8 years of experience in Python development.
- Demonstrates strong experience with Apache Spark and its components (Spark SQL, Streaming, MLlib, GraphX) using PySpark.
- Exhibits the ability to write efficient, complex queries against large datasets.
- Has knowledge of data warehousing principles and data modeling concepts.
- Shows proficient understanding of distributed computing principles.
- Has experience with at least one cloud provider (AWS, Azure, GCP), including their big data processing services.
- Possesses strong problem-solving skills and the ability to work under tight deadlines.
- Exhibits excellent communication and collaboration skills.
Preferred Qualifications:
- Experience with additional big data tools such as Hadoop, Kafka, or similar technologies.
- Familiarity with machine learning frameworks and libraries.
- Experience with data visualization tools and libraries.
- Knowledge of containerization and orchestration technologies (Docker, Kubernetes).
- Contributions to open-source projects or a strong GitHub portfolio showcasing relevant projects.
What We Offer:
- A highly competitive compensation and benefits package.
- A multinational organization with numerous offices worldwide and opportunities for international work.
- Provision of a laptop and mobile phone.
- Paid annual leave along with sick leave and national holidays.
- Maternity and paternity leave plans.
- A comprehensive insurance plan covering medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
- Retirement savings plans.
- A policy for higher education certification.
- Commuter benefits (varies by region).
- Extensive training opportunities focused on skills, substantive knowledge, and personal development.
- Access to on-demand Udemy for Business with over 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs and Center of Excellence groups.
- Engagement in cutting-edge projects with leading tier-one banks, financial institutions, and insurance firms.
- A flat and approachable organizational structure.
- A truly diverse, enjoyable, and global work culture.
Diversity & Inclusion Statement
Diversity and inclusion are core values of our culture, and we are proud to be an equal opportunity workplace and an affirmative action employer. Our Diversity, Equity, and Inclusion initiative is dedicated to fostering an inclusive culture that promotes equality and respect for all. We believe that a diverse workforce contributes to stronger, more successful businesses. We encourage applicants from diverse backgrounds, races, ethnicities, religions, ages, marital statuses, genders, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning, and development programs.
All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law.
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