Pyspark Developer

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500 , and has 58 offices in 21 countries within key global markets.

Our challenge

We are looking for a skilled and motivated PySpark Developer to join our data engineering team. The ideal candidate will have extensive experience in big data processing, particularly using Apache Spark with Python (PySpark). Candidate will be responsible for designing, developing, and maintaining large-scale data processing systems that enable data-driven decision-making

Additional Information

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC / Plano, TX is $100k - $110k/year & benefits (see below).

The Role

Responsibilities:

• Proven experience as a PySpark Developer or in a similar role, with a strong understanding of Apache Spark and distributed computing.
• Proficiency in Python and experience with PySpark for big data processing.
• Experience with data storage technologies such as Hadoop, HDFS, or cloud-based data lakes (e.g., AWS S3, Azure Data Lake).
• Familiarity with SQL and data warehousing concepts.
• Knowledge of data modeling and ETL concepts is a plus.
• Experience with version control systems (e.g., Git) and Agile development methodologies.
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
• Excellent communication skills, both written and verbal.

Requirements:

You are:

• Experience level 5-7 years
• Data Processing: Design and implement ETL processes using PySpark to extract, transform, and load data from various sources into data lakes or data warehouses.
• Data Analysis: Analyze large datasets to derive insights and support business intelligence initiatives.
• Performance Optimization: Optimize Spark jobs for performance and efficiency, including tuning configurations and optimizing queries.
• Collaboration: Work closely with data scientists, data analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Data Pipeline Development: Build and maintain scalable data pipelines and workflows using PySpark and related technologies.
• Code Quality: Write clean, maintainable, and efficient code, following best practices and coding standards.
• Testing: Develop unit tests and integration tests to ensure the reliability and accuracy of data processing jobs.
• Documentation: Create and maintain technical documentation related to data processing workflows, pipelines, and system architectures.
• Troubleshooting: Identify and resolve issues in data processing and ingestion pipelines in a timely manner.
• Stay Updated: Keep up to date with the latest developments in big data technologies and tools, and recommend improvements to existing processes and systems.

We can offer you:

• A highly competitive compensation and benefits package
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad
• Laptop and a mobile phone
• 10 days of paid annual leave (plus sick leave and national holidays)
• Maternity & Paternity leave plans
• A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
• Retirement savings plans
• A higher education certification policy
• Commuter benefits (varies by region)
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
• Cutting edge projects at the world s leading tier-one banks, financial institutions and insurance firms
• A flat and approachable organization
• A truly diverse, fun-loving and global work culture.

SYNECHRON S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Synclusive is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.