Data Engineer (AWS Redshift, Kubernetes, Spark and Python)
Data Engineer (AWS Redshift, Kubernetes, Spark and Python)
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Job Description
Job Summary
As a Data Engineer at Synechron you will play a pivotal role in harnessing data to drive business value. Your expertise will be essential in developing and maintaining data pipelines ensuring data integrity and facilitating analytics that inform strategic decisions. This role contributes significantly to our business objectives by optimizing data processing and enabling insightful reporting across the organization.
Software Requirements
Required:
- AWS Redshift (3 years of experience)
- Spark (3 years of experience)
- Python (3 years of experience)
- Complex SQL (3 years of experience)
- Shell scripting (2 years of experience)
- Docker (2 years of experience)
- Kubernetes (2 years of experience)
- Bitbucket (2 years of experience)
Preferred:
- DBT
- Dataiku
- Kubernetes cluster management
Overall Responsibilities
- Develop and optimize data pipelines using big data technologies ensuring seamless data flow and accessibility.
- Collaborate with crossfunctional teams to translate business requirements into technical solutions.
- Ensure high data quality and integrity in analytics and reporting processes.
- Implement data architecture and modeling best practices to support strategic objectives.
- Troubleshoot and resolve datarelated issues maintaining a servicefirst mentality to enhance customer satisfaction.
Technical Skills (By Category)
Programming Languages:
- Essential: Python SQL
- Preferred: Shell scripting
Databases/Data Management:
- Essential: AWS Redshift Hive Presto
- Preferred: DBT
Cloud Technologies:
- Essential: AWS
- Preferred: Kubernetes Docker
Frameworks and Libraries:
- Essential: Spark
- Preferred: Dataiku
Development Tools and Methodologies:
- Essential: Bitbucket Airflow or Argo Workflows
Experience Requirements
- 67 years of experience in data engineering or related roles.
- Strong understanding of data & analytics concepts with proven experience in big data technologies.
- Experience in the financial services industry preferred but not required.
- Alternative pathways: Significant project experience in data architecture and analytics.
DaytoDay Activities
- Design and implement scalable data pipelines.
- Participate in regular team meetings to align on project goals and deliverables.
- Collaborate with stakeholders to refine data processes and analytics.
- Make informed decisions on data management strategies and technologies.
Qualifications
- Bachelors degree in Computer Science Data Engineering or a related field (or equivalent experience).
- Certifications in AWS or relevant data engineering technologies preferred.
- Commitment to continuous professional development in data engineering and analytics.
Professional Competencies
- Strong critical thinking and problemsolving capabilities with a focus on innovation.
- Effective communication skills and stakeholder management.
- Ability to work collaboratively in a teamoriented environment.
- Adaptability and a willingness to learn new technologies and methodologies.
- Excellent time and priority management to meet deadlines and project goals.
SYNECHRONS 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.
Employment Type
Full-Time
