Python Developer

Jersey City, NJ

Synechron

Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.

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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

As a Python Developer, candidate will be responsible for developing scalable data processing applications and analytics solutions using Python along with Hadoop and distributed database technologies. Candidate will collaborate with data engineers, analysts, and other stakeholders to build and enhance data pipelines and applications.

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 Jersey City, NJ / Plano, TX is $100k - $110k/year & benefits (see below).

The Role

Responsibilities:

  • Design and implement data processing solutions using Python within a Hadoop ecosystem.

  • Develop and maintain data pipelines to ingest, process, and analyze large datasets.

  • Work with distributed databases such as HBase, Cassandra, or similar technologies to store and retrieve data efficiently.

  • Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.

  • Optimize data storage and processing for performance and scalability.

  • Write clean, reusable, and well-documented code following best practices.

  • Conduct code reviews and provide constructive feedback to team members.

  • Troubleshoot and resolve issues in data pipelines and applications.

Requirements:

You are:

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.

  • Proven experience as a Python Developer, with a strong focus on data processing.

  • Hands-on experience with Hadoop and its ecosystem (e.g., Hive, Pig, Spark).

  • Familiarity with distributed databases (e.g., HBase, Cassandra) and data modeling techniques.

  • Strong understanding of data structures and algorithms.

  • Experience with version control systems (e.g., Git).

  • Knowledge of data warehousing concepts and ETL processes is a plus.

  • Excellent problem-solving skills and attention to detail.

It would be great if you also had:

  • Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).

  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).

  • Understanding of Agile development methodologies.

  • Strong communication skills and the ability to work collaboratively in a team environment.

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

S​YNECHRON’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 ‘Same Difference’ 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.

Candidate Application Notice

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Category: Engineering Jobs

Tags: Agile AWS Azure Blockchain Cassandra Computer Science Consulting Consulting firm Data pipelines Data Warehousing DevOps Docker Engineering ETL GCP Git Google Cloud Hadoop HBase Kubernetes Pipelines Python Research Spark

Perks/benefits: Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave

Region: North America
Country: United States

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