Contract / Full\-Time (Depending on Engagement)
Location:Hybrid / Onsite (Specify Location)
Experience: 8\+ years
Job Summary
We are seeking a highly skilled Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have strong experience with cloud\-based data platforms, workflow orchestration, modern data transformation frameworks, and analytics engineering best practices.
You will work closely with data analysts, analytics engineers, and business stakeholders to develop reliable data infrastructure that supports reporting, analytics, and advanced data initiatives.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Build and manage workflow orchestration processes using Apache Airflow.
- Develop data transformation models and analytics workflows using dbt.
- Optimize and maintain cloud\-based data warehouse solutions such as BigQuery.
- Create efficient, reusable, and well\-documented SQL models and queries.
- Manage and process data stored in cloud object storage platforms such as Google Cloud Storage (GCS).
- Implement data quality checks, monitoring, and validation processes.
- Collaborate with cross\-functional teams to understand business requirements and translate them into technical solutions.
- Improve data reliability, performance, and scalability across the data ecosystem.
- Support data governance, security, and best practices in data engineering.
Required QualificationsTechnical Skills
- Strong proficiency in Python for data processing, automation, and pipeline development.
- Hands\-on experience with Apache Airflow for workflow orchestration and scheduling.
- Advanced SQL skills with experience writing complex queries and optimizing performance.
- Hands\-on experience with dbt (Data Build Tool) for data transformation and analytics engineering.
- Strong experience with BigQuery or similar cloud data warehouse technologies.
- Experience working with Google Cloud Storage (GCS) or equivalent cloud object storage platforms.
- Strong understanding of ETL/ELT architectures, data modeling, and analytics engineering principles.
Experience
- Experience building and maintaining production\-grade data pipelines.
- Experience working with large\-scale datasets in cloud environments.
Preferred Qualifications
- Experience with Google Cloud Platform (GCP).
- Familiarity with CI/CD practices for data pipelines.
- Experience implementing data quality and monitoring frameworks.
- Knowledge of data governance and security best practices.
- Experience working in Agile development environments.
What We're Looking For
- Strong problem\-solving and analytical skills.
- Ability to work independently and manage multiple priorities.
- Excellent communication and collaboration skills.
- Passion for building scalable, reliable, and efficient data solutions.
Why Join Us?
- Opportunity to work with modern cloud data technologies.
- Collaborative and data\-driven team environment.
- Flexible work arrangements.
- Exposure to large\-scale data and analytics initiatives.
Required Skills (Must Have)
- Python
- Apache Airflow
- SQL
- dbt
- BigQuery
- Google Cloud Storage (GCS)
- ETL/ELT Development
- Data Modeling
- Analytics Engineering
Interested candidates can share their updated resume to
- *jagadeesh@kasmoprav.com**
Pay: ₹120,000\.00 \- ₹140,000\.00 per month
Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad District)