Senior Data Engineer (AWS, Airflow, DBT & Cloud Data Pipelines)
Senior Data Engineer (AWS, Airflow, DBT & Cloud Data Pipelines)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Summary:
Synechron is seeking an experienced Senior Data Engineer with expertise in AWS Apache Airflow and DBT to design and implement scalable reliable data pipelines. The role involves collaborating with data teams and business stakeholders to develop data solutions that enable actionable insights and support organizational decisionmaking. The ideal candidate will bring data engineering experience demonstrating strong technical skills strategic thinking and the ability to work in a fastpaced evolving environment.
Software Requirements:
- Required:
- Strong proficiency in AWS services including S3 Redshift Lambda and Glue with proven handson experience
- Expertise in Apache Airflow for workflow orchestration and pipeline management
- Extensive experience with DBT for data transformation and modeling
- Solid knowledge of SQL for data querying and manipulation
- Preferred:
- Familiarity with Hadoop Spark or other big data technologies
- Experience with NoSQL databases (e.g. DynamoDB Cassandra)
- Knowledge of data governance and security best practices within cloud environments
Overall Responsibilities:
- Lead the design development and maintenance of scalable and efficient data pipelines and workflows utilizing AWS Airflow and DBT
- Collaborate with data scientists analysts and business teams to gather requirements and translate them into technical solutions
- Optimize Extract Transform Load (ETL) processes to enhance data quality integrity and timeliness
- Monitor pipeline performance troubleshoot issues and implement improvements to ensure operational excellence
- Enforce data management governance and security protocols across all data flows
- Mentor junior data engineers and promote best practices within the team
- Stay current with emerging data technologies and industry trends recommending innovations for the data ecosystem
Technical Skills (By Category):
- Programming Languages:
- Essential: SQL Python (preferred for scripting and automation)
- Preferred: Spark Scala Java (for big data integration)
- Databases/Data Management:
- Extensive experience with data warehousing (Redshift Snowflake or similar) and relational databases (MySQL PostgreSQL)
- Familiarity with NoSQL databases such as DynamoDB or Cassandra is a plus
- Cloud Technologies:
- AWS cloud platform leveraging services like S3 Lambda Glue Redshift and IAM security features
- Frameworks and Libraries:
- Apache Airflow dbt and related data orchestration and transformation tools
- Development Tools and Methodologies:
- Git Jenkins CI/CD pipelines Agile/Scrum environment experience
- Security Protocols:
- Knowledge of data encryption access control and compliance standards in cloud data engineering
Experience Requirements:
- At least 8 years of professional experience in data engineering or related roles with a focus on cloud ecosystems and big data pipelines
- Demonstrated experience designing and managing endtoend data workflows in AWS environments
- Proven success in collaborating with crossfunctional teams and translating business requirements into technical solutions
- Prior experience mentoring junior engineers and leading data projects is highly desirable
DaytoDay Activities:
- Develop deploy and monitor scalable data pipelines using AWS Airflow and DBT
- Collaborate regularly with data scientists analysts and business stakeholders to refine data requirements and deliver impactful solutions
- Troubleshoot production data pipeline issues to resolve data quality or performance bottlenecks
- Conduct code reviews optimize existing workflows and implement automation to improve efficiency
- Document data architecture pipelines and governance practices for knowledge sharing and compliance
- Keep abreast of emerging data tools and industry best practices proposing enhancements to existing systems
Qualifications:
- Bachelors degree in Computer Science Data Science Engineering or related field; Masters degree preferred
- Professional certifications such as AWS Certified Data Analytics Specialty or related credentials are advantageous
- Commitment to continuous professional development and staying current with industry trends
Professional Competencies:
- Strong analytical problemsolving and critical thinking skills
- Excellent communication abilities to effectively liaise with technical and business teams
- Proven leadership in mentoring team members and managing project deliverables
- Ability to work independently prioritize tasks and adapt to changing business needs
- Innovative mindset focused on scalable efficient and sustainable data solutions
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.
Required Experience:
Senior IC
Employment Type
Full-Time
