Highly Skilled PySpark Developer Wanted for Data Analytics

2 weeks ago


Mississauga, Ontario, Canada Synechron Full time

About Synechron

Synechron is a global consulting firm that combines creativity and innovative technology to deliver industry-leading digital solutions. Our 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.

Salary Range: CAD 120k - 125k/year + Benefits

Based on our location in Mississauga, ON, the base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role is CAD $120k - $125k/year & benefits (see below).

Data Analyst Role

We are seeking a skilled PySpark Developer to join our team. The ideal candidate will have strong programming expertise in Python and experience with Apache Spark, particularly in data processing and analytics. This role will involve designing, developing, and maintaining data pipelines and processing large datasets to deliver actionable insights for our business.

Responsibilities:

  • Design and implement efficient data processing pipelines using PySpark to handle large volumes of data.
  • Collaborate with data engineers and analysts to understand data requirements and translate them into technical solutions.
  • Develop and optimize Spark jobs for performance and scalability.
  • Write clean, maintainable, and well-documented code in Python to support data processing tasks.
  • Conduct data analysis to identify trends, anomalies, and opportunities for business improvement.
  • Troubleshoot and resolve issues related to data processing and integration.
  • Participate in code reviews and contribute to best practices in coding and software development.
  • Stay up to date with the latest developments in PySpark and big data technologies.

Requirements:

  • Proven experience as a Python Developer, with a strong focus on PySpark and big data processing.
  • Solid understanding of Apache Spark architecture and its components.
  • Proficiency in writing efficient and optimized queries in SQL.
  • Experience with data storage technologies such as Hadoop, HDFS, or cloud-based data solutions (e.g., AWS S3, Azure Data Lake).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Bachelor's degree in computer science, Information Technology, or a related field; advanced degree preferred.

Benefits of Working at Synechron:

  • Multinational organization with 58 offices in 21 countries and the possibility to work abroad
  • 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days)
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability
  • Flexible hybrid policy to fit your schedule
  • RRSP with employer's contribution up to 4%
  • A higher education certification policy
  • 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 truly diverse, fun-loving, and global work culture


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