Senior Python Developer

Synechron

Dallas (TX)

On-site

USD 100,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation and benefits package
10 days of paid annual leave
Comprehensive insurance plan
Retirement savings plans
Extensive training opportunities

Job summary

A leading financial services firm in Dallas is looking for a Senior Python Developer with extensive experience in data engineering. The ideal candidate will excel in Python, Pandas, and big data technologies like Hadoop and Hive. Responsibilities include designing ML solutions and maintaining data processing pipelines. This full-time position offers a competitive salary and comprehensive benefits package.

Qualifications

  • 10+ years of professional experience in Python development, focused on data engineering.
  • Strong expertise in using Pandas and NumPy for data manipulation and analysis.
  • Experience with Hadoop ecosystem components, including Hive, for big data processing.

Responsibilities

  • Designing and executing Proof of Concept projects related to Machine Learning and AI.
  • Developing customized ML/AI solutions for various use cases.
  • Deploying and maintaining machine learning models in production.

Skills

Python programming
Data engineering
Pandas
NumPy
Hadoop
Hive

Education

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

Tools

Git

Job description

This range is provided by Synechron. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $110,000.00/yr

Direct message the job poster from Synechron

Overview

We are looking for a highly experienced Senior Python Developer to join our dynamic team. The ideal candidate will have a strong background in data engineering and analytics, with expertise in Python programming, and proficiency in using Pandas, NumPy, Hadoop, and Hive for big data processing and analysis.

The Role

Responsibilities:

  • Designing and executing Proof of Concept projects related to Machine Learning and Artificial Intelligence;
  • Developing tailor made ML/AI solutions to different uses cases inside Performance and Capacity Management services;
  • Deploy and maintain machine learning models in production and manage ML model source code using Git/Bitbucket.
  • Designing and developing Machine Learning solutions using for various business cases on the cloud infrastructure.
  • Experience with developing frameworks and tools specific to AI/ML applications.
  • Design, develop, and maintain data processing pipelines using Python, Hadoop, and Hive.
  • Utilize Pandas and NumPy for data manipulation, analysis, and transformation tasks.
  • Collaborate with cross-functional teams to gather data requirements and deliver effective solutions.
  • Implement efficient data processing algorithms to handle large datasets and optimize performance.
  • Conduct data validation and ensure data quality throughout the processing lifecycle.
  • Write reusable, maintainable, and efficient code while adhering to best practices.
  • Participate in code reviews and provide mentorship to junior developers.
  • Troubleshoot and resolve issues in data processing and analytics workflows.
  • Stay current with industry trends and emerging technologies in data engineering and analytics.
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 10+ years of professional experience in Python development, with a focus on data engineering.
  • Strong expertise in using Pandas and NumPy for data manipulation and analysis.
  • Experience with Hadoop ecosystem components, including Hive, for big data processing.
  • Knowledge of data warehousing concepts and ETL processes.
  • Familiarity with SQL and experience with relational databases.
  • Proficiency in version control systems (e.g., Git).
  • Excellent problem-solving skills and a keen attention to detail.
We offer
  • A highly competitive compensation and benefits package
  • A multinational organization with 58 offices in 21 countries and the possibility to work abroad
  • 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 ‘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.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Other
Industries
  • Banking and Financial Services

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