Lead Data Engineer
Company not disclosed
- Pay
- ₹25–35 lakh a year
- Experience
- 8+ years
- Location
- Bangalore, Pune, Hyderabad · On-site
- Job type
- Full-time
- Snowflake
- DBT
- Airflow
- Python
- Data Warehousing
- ETL
- Data Modeling
- SQL
About the role
Lead the development and implementation of data pipelines and data models using Snowflake and DBT. Design and optimize ETL workflows using Apache Airflow to ensure efficient data processing. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Perform data analysis and troubleshooting to ensure data integrity and reliability. Mentor and guide junior engineers, supporting their growth and development within the team. Stay current with industry trends and best practices related to data engineering and cloud technologies.
What you’ll do
- Lead the development and implementation of data pipelines and data models using Snowflake and DBT.
- Design and optimize ETL workflows using Apache Airflow to ensure efficient data processing.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Perform data analysis and troubleshooting to ensure data integrity and reliability.
- Mentor and guide junior engineers, supporting their growth and development within the team.
- Stay current with industry trends and best practices related to data engineering and cloud technologies.
What we’re looking for
Must have
- Snowflake
- DBT
- Airflow
- Python
- Data Warehousing
- ETL
What makes this role challenging
- Designing and optimizing complex ETL workflows for performance and reliability
- Leading data pipeline development while mentoring junior engineers
- Staying current with rapidly evolving cloud and data technologies
- Collaborating across teams to translate business requirements into technical solutions
What success looks like
- First 30 days
- Ramp up on the existing data pipelines and Snowflake environment, and start contributing to ongoing data engineering tasks.
- By 90 days
- Take ownership of key data pipeline components, optimize ETL workflows, and begin mentoring junior engineers.
- First year
- Lead the design and implementation of new data models and pipelines, establish best practices, and drive the team's data engineering roadmap.
Job Title: Lead Data Engineer-Snowflake Company: the company Location: Bangalore/ Pune/Hyderabad About the company: the company is a global consulting and technology services firm specializing in data, analytics, and digital transformation solutions. With deep expertise in cloud platforms such as Microsoft Azure, Snowflake, and Databricks, the company helps organizations modernize their data ecosystems and drive business insights.The company focuses on delivering scalable data engineering, business intelligence, and AI-driven solutions across industries, enabling clients to make faster, data-driven decisions and achieve measurable business outcomes. Job Information
Description key responsibilities
- Lead the development and implementation of data pipelines and data models using Snowflake and DBT.
- Design and optimize ETL workflows using Apache Airflow to ensure efficient data processing.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Perform data analysis and troubleshooting to ensure data integrity and reliability.
- Mentor and guide junior engineers, supporting their growth and development within the team.
- Stay current with industry trends and best practices related to data engineering and cloud technologies.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in data engineering or a related field, with a focus on Snowflake.
- Strong expertise in DBT, Airflow, and Python programming.
- Solid understanding of data warehousing concepts and best practices.
- Excellent problem-solving skills and the ability to work independently as well as part of a team.
- Strong communication and collaboration skills to work effectively with stakeholders at all levels.