Associate Data Engineer (AWS)
About Clovertex
At the intersection of science and technology, Clovertex is a Life Sciences Systems Integrator specializing in architecting, building, automating, and managing scientific applications, databases, data lakes, and workflows using cloud computing technologies.
Clovertex is an AWS Advanced Tier Partner. Our team has deep scientific domain expertise and specializes in providing both IT and science-related services.
To know more about us, visit: www.clovertex.com
Job Role
Associate Data Engineer (AWS) / Data Engineer (AWS)
Location: Hyderabad
Notice: Should join in 2-3 weeks or less (immediate joiner preferred)
Experience Required: 1 – 2 Years
Job Type: Full-Time (Hyderabad, Hybrid)
Number of Positions: 02
Job Summary
We are looking for an enthusiastic and motivated Associate Data Engineer to join our growing Data Engineering team. This role is ideal for candidates with 1–2 years of experience in data engineering, software development, cloud technologies, or analytics who are eager to build scalable data platforms on AWS.
You will work closely with senior engineers, architects, data scientists, and analysts to develop, maintain, and optimize data pipelines, data lakes, and analytics solutions supporting Life Sciences and Healthcare customers.
Key Responsibilities
- Assist in building and maintaining Data Lakes using AWS services such as S3, Glue, Athena, and Lake Formation.
- Develop and support ETL/ELT pipelines using AWS Glue, Lambda, Python, and SQL.
- Work with structured and semi-structured data from multiple data sources.
- Support data ingestion, transformation, validation, and reporting processes.
- Write clean, reusable, and maintainable Python code for automation and data processing.
- Assist in implementing workflow orchestration using AWS Step Functions, EventBridge, or Apache Airflow.
- Support data quality checks, monitoring, troubleshooting, and issue resolution.
- Work with databases and data warehouses such as PostgreSQL, Redshift, and DynamoDB.
- Collaborate with Data Engineers, Data Scientists, and Business Analysts to support analytics requirements.
- Participate in Agile ceremonies, code reviews, and team discussions.
Required Qualifications & Skills
- Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
- 1–2 years of experience in Data Engineering, Software Development, Analytics, or Cloud Engineering.
- Strong programming skills in Python.
- Good understanding of SQL and relational databases.
- Basic understanding of ETL/ELT concepts and data processing workflows.
- Familiarity with AWS services such as:
- Amazon S3
- AWS Glue
- Amazon Athena
- AWS Lambda
- Amazon Redshift
- Amazon CloudWatch
- Understanding of data warehousing fundamentals and data modeling concepts.
- Familiarity with Git and version control systems.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
Preferred Qualifications
- Exposure to Apache Spark, PySpark, Kafka, Kinesis, or similar big data technologies.
- Familiarity with orchestration tools such as Airflow or AWS Step Functions.
- Basic understanding of NoSQL databases such as DynamoDB or MongoDB.
- Exposure to BI and visualization tools such as QuickSight, Power BI, or Tableau.
- AWS Cloud Practitioner, AWS Solutions Architect Associate, or AWS Data Engineer Associate certification.
- Internship, academic projects, or hands-on experience with cloud-based data platforms.
- Exposure to Healthcare, Life Sciences, Bioinformatics, or Scientific Computing domains is a plus.
What We Offer
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge cloud and data engineering projects in the Biotechnology and Healthcare industries.
- Hands-on experience with AWS cloud technologies and modern data platforms.
- AWS certification reimbursement and continuous learning opportunities.
- Mentorship from experienced cloud, data, and bioinformatics professionals.
- Hybrid work model supporting work-life balance.
- Health insurance and benefits for employees and eligible dependents.
- Collaborative and innovation-driven work environment.
Equal Opportunity Employer
Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We are committed to creating a positive and inclusive work environment for all employees.
Join Us
Join our team and contribute to building modern data platforms that drive scientific innovation and business value. If you are passionate about cloud technologies, data engineering, and solving real-world challenges, we would love to hear from you.
