Job Title: Senior Data Engineer
Mandatory Skills: (DBT, Airflow, Cosmos, SQL, Apache Airflow, AWS Redshift, S3)
Experience: 5–10 Years
Location: Bangalore (Hybrid – 3 Days from office)
Role Overview
We are looking for a Senior Data Engineer with strong expertise in DBT, SQL, Airflow, and Cosmos to design, build, and optimize scalable data pipelines. This role requires a mix of technical depth, data modelling expertise, and strong communication skills to collaborate effectively with cross-functional teams.
Key Responsibilities
· Design, develop, and maintain scalable data pipelines using DBT, Airflow, and Cosmos.
· Build and optimize complex SQL transformations for large-scale datasets.
· Implement robust data models following best practices in analytics engineering.
· Orchestrate workflows and ensure reliability, monitoring, and performance of pipelines.
· Collaborate with data analysts, BI teams, and business stakeholders to translate requirements into data solutions.
· Ensure data quality, governance, and documentation across data assets.
· Troubleshoot and resolve data pipeline and performance issues.
· Mentor junior data engineers and contribute to best practices and standards.
Required Skills
· Strong hands-on experience with DBT (data modelling, testing, documentation).
· Advanced SQL skills with performance tuning expertise.
· Experience with Apache Airflow for orchestration.
· Familiarity with Cosmos (or similar modern data orchestration frameworks).
· Solid understanding of data warehousing concepts (star schema, dimensional modelling).
· Experience working with cloud platforms, primarily with AWS Redshift, S3 etc.
· Strong problem-solving and analytical skills.
· Excellent communication and stakeholder management abilities.
Good to Have
· Experience with BI tools such as Tableau or Power BI.
· Exposure to data governance and data quality frameworks.
· Knowledge of CI/CD practices in data engineering using GitHub.
· Experience in Agile/Scrum environments.
· Knowledge of Informatica Power Canter
Qualifications
· Bachelor’s or master’s degree in computer science, Engineering, or related field.
· 5–10 years of experience in data engineering or analytics engineering roles.
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