Senior Data Engineer (DBT/Snowflake) (India)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer (DBT/Snowflake) in India.

This role provides the opportunity to design, build, and maintain robust data pipelines that drive actionable business insights in a high-growth environment. You will work with cross-functional teams to implement scalable, automated data solutions using modern data stack technologies such as Snowflake, DBT, and Airflow. The position emphasizes both technical excellence and mentorship, allowing you to guide junior engineers while influencing the design and quality of the company’s data infrastructure. You will translate complex business requirements into efficient data models, ensure data quality, and contribute to the evolution of the data architecture. This is ideal for someone passionate about data engineering, performance optimization, and hands-on problem-solving at scale.

Accountabilities

• Design, develop, and maintain end-to-end ETL/ELT pipelines to support business analytics and reporting.
• Implement scalable, automated processes for data extraction, transformation, and loading within a Data Mesh architecture.
• Mentor and guide junior engineers, fostering technical excellence and knowledge sharing.
• Act as a subject matter expert on data technologies and best practices.
• Troubleshoot, diagnose, and resolve data-related architecture and operational issues.
• Translate business requirements into technical solutions, including DBT models, reports, and data pipelines.
• Ensure data quality through exploratory analysis, testing, and validation of data feeds.
• Collaborate with analysts and stakeholders to optimize the availability and reliability of data.
• Contribute to the governance of data warehouse practices, including coding standards, peer reviews, and documentation.

Requirements

• 4+ years of hands-on experience with Snowflake or similar data warehouse technologies.
• Proficiency with DBT, Airflow, Fivetran/Stitch, SQL, and Looker/Tableau.
• Strong experience in data modeling, ETL/ELT processes, and performance tuning.
• Knowledge of modern data stack tools and cloud platforms (AWS, GCP) is essential; familiarity with Python is a plus.
• Experience working in agile, cross-functional teams using SCRUM or similar methodologies.
• Strong problem-solving skills and technical documentation abilities.
• Excellent communication skills in English and the ability to translate business requirements into technical solutions.
• Experience with data governance, data quality tools (e.g., Great Expectations, Monte Carlo), or cataloging tools (e.g., Atlan, Alation, Collibra) is a plus.
• Preferably experienced in fintech or digitally native companies.

Benefits

• Competitive salary with performance-based incentives.
• Comprehensive health insurance for self and family, including term and life coverage.
• OPD benefits and mental wellbeing support.
• Learning & development budget and professional growth opportunities.
• Flexible remote work with the ability to work from home or another Indian state for up to 90 days per year.
• WFH setup allowance and all necessary tools provided.
• Generous leave policy including privilege, casual, sick leaves, and paid days for volunteering or learning activities.
• Stock options for long-term growth and alignment with company success.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!