Hyderabad, Telangana, India
Information Technology
Full-Time
Srijan Now Material
Overview
Job Title: Senior Data Engineer
Location: Remote
Experience: 4+ years
About The Role
We are seeking a Senior 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
Location: Remote
Experience: 4+ years
About The Role
We are seeking a Senior 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, scalable ETL/ELT pipelines using AWS-native tools
- Ingest and transform data from multiple sources into S3, applying schema discovery via AWS Glue Crawlers
- Develop and orchestrate workflows using Apache Airflow, AWS Step Functions, and Lambda functions
- Build and optimize data models in Amazon Redshift for analytics consumption
- Manage and enforce IAM-based access control, ensuring secure data practices
- Write clean, modular, and reusable code in PySpark and SQL for 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.
- 4+ years of experience as a Data Engineer, with at least 3+ years working in cloud-native environments (preferably AWS)
- Hands-on experience with S3, Redshift, Glue (ETL & Crawlers), Lambda, Step Functions, and Airflow
- Strong programming skills in PySpark and SQL
- Experience designing and implementing data lakes, data warehouses, and real-time/near-real-time pipelines
- Familiarity with DevOps, CI/CD pipelines, and infrastructure as code tools (e.g., Git, CloudFormation, Terraform)
- Understanding of data governance, data security, and role-based access control in cloud environments
- Strong problem-solving skills and ability to work independently as well as collaboratively
- Excellent written and verbal communication skills
- 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
- 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
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