Senior/Lead Data Engineer - AWS & Airflow
Senior/Lead Data Engineer - AWS & Airflow
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Job Description
About US:-
We turn customer challenges into growth opportunities.
Material is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.
Srijan a Material company is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.Be a part of an Awesome Tribe
Job Title: Senior/Lead Data Engineer
Experience: 4 years
About the Role
We are seeking a Senior/Lead Data Engineer to join our fast-growing data engineering team supporting a large-scale healthcare and nonprofit analytics program for a US-based client. This role will focus on building and optimizing cloud-native data pipelines using AWS services to support analytics reporting and stakeholder decision-making.
You will work closely with architects analysts and product teams to integrate disparate data sources ensure data quality and deliver business-critical data solutions at scale.
Key Responsibilities
- Design and implement robust scalableETL/ELT pipelinesusing AWS-native tools
- Ingest and transform data from multiple sources intoS3 applying schema discovery viaAWS Glue Crawlers
- Develop and orchestrate workflows usingApache AirflowAWS Step Functions andLambda functions
- Build and optimize data models inAmazon Redshiftfor analytics consumption
- Manage and enforceIAM-based access control ensuring secure data practices
- Write clean modular and reusable code inPySparkandSQLfor large-scale data processing
- Implement monitoring alerting and CI/CD pipelines to improve deployment efficiency and reliability
- Work closely with business stakeholders and analysts to understand data requirements and deliver meaningful insights
- Participate in code reviews and knowledge-sharing activities across teams.
- Understands scrum and comfortable working in an Agile environment.
Required Skills
- 4 years of experience as a Data Engineer with at least 3 years working in cloud-native environments (preferablyAWS)
- Hands-on experience withS3RedshiftGlue (ETL & Crawlers)LambdaStep Functions andAirflow
- Strong programming skills inPySparkandSQL
- Experience designing and implementingdata lakesdata warehouses andreal-time/near-real-time pipelines
- Familiarity withDevOpsCI/CD pipelines and infrastructure as code tools (e.g. Git CloudFormation Terraform)
- Understanding ofdata governancedata security androle-based access controlin cloud environments
- Strong problem-solving skills and ability to work independently as well as collaboratively
- Excellent written and verbal communication skills
Nice to Have
- Experience working in domains such as nonprofit healthcare or campaign marketing
- Familiarity with AWS Notebooks Athena and CloudWatch
- Exposure to data observability tools testing frameworks or event-driven architectures
- Experience mentoring junior engineers or leading small teams
Why Work With Us
- Opportunity to work on meaningful data problems impacting real-world decision-making
- Collaborative and supportive work culture with flexible remote working options
- Emphasis on innovation ownership and growth
- Competitive compensation and career advancement opportunities
Required Experience:
Senior IC
Employment Type
Full-Time
