Spark Data Engineer

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 seeking an experienced Senior Spark Data Engineer with over 10 years of experience in big data technologies and data engineering. The ideal candidate will have a deep understanding of Apache Spark and its ecosystem, along with strong skills in data modeling, ETL processes, and data warehousing. You will work closely with data scientists, analysts, and other stakeholders to design, build, and maintain scalable data pipelines that support our data-driven decision-making processes.

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 is $110K - $120k/year & benefits (see below).

The Role

Responsibilities:

• Design and implement efficient data pipelines using Apache Spark for processing large volumes of data.
• Collaborate with data architects and data scientists to understand data requirements and translate them into technical specifications.
• Develop and optimize ETL processes to ensure data quality and reliability.
• Perform data modeling and design data architectures that meet business needs.
• Maintain and enhance existing data processing systems and frameworks.
• Monitor and troubleshoot data pipeline performance and implement necessary optimizations.
• Ensure data governance and compliance with industry standards and regulations.
• Document processes, architectures, and data flows for better collaboration and knowledge sharing.
• Mentor junior data engineers and contribute to team skill development.

Requirements:

You are:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 10 years of experience in data engineering, with a strong focus on Apache Spark and big data technologies.
• Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
• Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
• Strong programming skills in languages such as Scala, Java, or Python.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services (e.g., AWS EMR, Azure Databricks).
• Experience with data warehousing solutions (e.g., Snowflake, Redshift) is preferred.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

It would be great if you also had:

• Experience with data streaming technologies (e.g., Apache Kafka, Apache Flink).
• Familiarity with containerization technologies (Docker, Kubernetes) and orchestration tools.
• Understanding of machine learning concepts and frameworks (e.g., MLlib).
• Knowledge of Agile methodologies and experience with Agile project management tools.

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.