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. Synechrons 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 14500 and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a talented and detail-oriented Data Engineer to design develop and maintain scalable data pipelines and big data solutions. The ideal candidate will have strong expertise in Python PySpark Apache Spark and Big Data technologies. Candidate will work closely with data scientists analysts and stakeholders to ensure data is collected processed and made available for analytics and decision-making.

Additional Information

The base salary for this position will vary based on geography and other accordance with law the base salary for this role if filled within Pittsburgh PA is$105k - $115k / year & benefits (see below).

The Role

Responsibilities :

• Design develop and optimize large-scale data pipelines using Spark and Python (PySpark).
• Build and maintain scalable data architecture and infrastructure in big data environments.
• Collaborate with data scientists and analysts to understand data requirements and deliver reliable data solutions.
• Extract transform and load (ETL) data from various sources into data lakes or data warehouses.
• Implement data quality checks validation and monitoring processes to ensure data integrity.
• Optimize Spark jobs for performance and resource utilization.
• Automate data workflows and pipelines using scheduling tools like Apache Airflow Luigi or similar.
• Work with cloud-based big data services (e.g. AWS EMR Azure HDInsight Google Cloud Dataproc) as applicable.
• Document data pipelines architecture and processes for future maintenance and compliance.
• Stay updated with emerging big data technologies and industry best practices.

Requirements :

Preferred but not required :

We offer :

S YNECHRONS 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 applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law .

Candidate Application Notice

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

Yearly Salary Salary : 105 - 115