Java/Spark Developer

Synechron

Mississauga

Hybrid

CAD 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

15 days of paid annual leave
Comprehensive insurance plan
Flexible hybrid policy
RRSP with employer’s contribution
Higher education certification policy
On-demand Udemy access
Coaching opportunities
Diverse work culture

Job summary

Join a forward-thinking multinational organization as a Java/Spark Developer, where you'll play a pivotal role in transforming big data initiatives. This exciting position offers the chance to design and develop scalable data processing applications, ensuring data integrity and performance. Collaborate with talented teams on cutting-edge projects for leading financial institutions while enjoying a flexible hybrid work policy and comprehensive benefits. With a commitment to diversity and inclusion, this company fosters a vibrant culture that values every individual's contribution. If you're ready to make an impact in the world of technology, this opportunity is perfect for you.

Qualifications

  • 10+ years of experience in Java and big data technologies.
  • Strong proficiency in Apache Spark and Hadoop ecosystem components.

Responsibilities

  • Design and develop scalable data processing applications using Java and Spark.
  • Implement data ingestion and transformation processes with Hadoop and Hive.

Skills

Java
Apache Spark
Hadoop
SQL
Data Processing
Problem-solving
Communication

Education

Bachelor’s degree in Computer Science
Master’s degree in a related field

Tools

Hadoop Ecosystem (HDFS, MapReduce, Hive, Impala)
Data Visualization Tools
Cloud Platforms (AWS, Azure, Google Cloud)

Job description

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.

Job Title: Java/Spark Developer

We are looking for a talented Java/Spark Developer to join our team and contribute to our big data initiatives. The ideal candidate will have a strong foundation in Java and Spark, along with hands-on experience in Hadoop, Hive, Impala, and SQL. Candidate will play a key role in developing and optimizing data processing applications to handle large datasets, ensuring data integrity and performance.

Responsibilities:
  • Design and develop scalable data processing applications using Java and Apache Spark.
  • Implement data ingestion and transformation processes using Hadoop, Hive, and Impala.
  • Write efficient SQL queries to extract and manipulate data from relational and non-relational databases.
  • Collaborate with data engineers and analysts to understand data requirements and deliver effective solutions.
  • Optimize existing Spark applications for performance and reliability.
  • Monitor and troubleshoot data processing jobs to ensure smooth operations.
  • Participate in code reviews and contribute to best practices in software development and data engineering.
  • Document technical specifications, processes, and workflows to ensure knowledge sharing and compliance.
Requirements:
  • Experience needed 10+ Years
  • Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree is a plus.
  • Proven experience as a Java Developer with a focus on big data technologies.
  • Strong proficiency in Apache Spark for data processing and analytics.
  • Hands-on experience with Hadoop ecosystem components (HDFS, MapReduce, Hive, and Impala).
  • Solid understanding of SQL and experience with database management systems.
  • Demonstrated experience working with large datasets and optimizing data workflows.
  • Familiarity with data modeling, data warehousing concepts, and ETL processes.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
It would be great if you also had:
  • Experience with cloud platforms (AWS, Azure, Google Cloud) and big data services.
  • Knowledge of additional programming languages (Python, Scala) is a plus.
  • Familiarity with data visualization tools and techniques.
  • Understanding of machine learning concepts and frameworks.
We can offer you:
  • A 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.

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Financial Services and Banking

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