Senior Data Engineer - Airflow, PLSQL
Relanto
- Salary
- ₹30 - 40 LPA
- Experience
- 5+ yrs
- Location
- Hyderabad, Telangana, India
- Job type
- Full-time
Required skills
- airflow
- plsql
- snowflake
- scrum
- git
- ci/cd
About the role
Position: Senior Data Engineer - Airflow, PLSQL
Experience: 5+ Years
Location: Bangalore/Hyderabad/Pune
Seeking a Senior Data Engineer with strong expertise in Apache Airflow and Oracle PL/SQL, along with working experience in Snowflake and Agile methodologies. The ideal candidate will also take up Scrum Master responsibilities and lead a data engineering scrum team to deliver robust, scalable data solutions.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Apache Airflow.
- Write and optimize complex PL/SQL queries, procedures, and packages on Oracle databases.
- Collaborate with cross-functional teams to design efficient data models and integration workflows.
- Work with Snowflake for data warehousing and analytics use cases.
- Own the delivery of sprint goals, backlog grooming, and facilitation of agile ceremonies as the Scrum Master.
- Monitor pipeline health and troubleshoot production data issues proactively.
- Ensure code quality, documentation, and best practices across the team.
- Mentor junior data engineers and promote a culture of continuous improvement.
Required Skills And Qualifications
- 5+ years of experience as a Data Engineer in enterprise environments.
- Strong expertise in Apache Airflow for orchestrating workflows.
- Expert in Oracle PL/SQL – stored procedures, performance tuning, debugging.
- Hands-on experience with Snowflake – data modeling, SQL, optimization.
- Working knowledge of version control (Git) and CI/CD practices.
- Prior experience or certification as a Scrum Master is highly desirable.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and leadership skills.
About Relanto
Seeking a Senior Data Engineer with strong expertise in Apache Airflow and Oracle PL/SQL, along with working experience in Snowflake and Agile methodologies. The ideal candidate will also take up Scrum Master responsibilities and lead a data engineering scrum team to deliver robust, scalable data solutions.
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