Front End Engineer - Remote Eligible

Data Engineer

We're seeking a Data Engineer who combines strong technical skills with a structured and collaborative approach to engineering. You'll be responsible for building reliable data pipelines and optimizing data systems that power analytics, reporting, and product intelligence. This role requires hands-on expertise in Python, SQL, and Snowflake.

Key Responsibilities:

• Design, implement, and maintain efficient ETL/ELT workflows using Python & SQL.
• Build, optimize, and maintain scalable Snowflake data models for analytics and operational use cases.
• Ensure high data quality, consistency, and accessibility across different teams and systems.
• Automate repetitive data processes and continuously improve data infrastructure performance.
• Collaborate closely with data analysts, scientists, and product teams to understand data requirements and deliver actionable datasets.

Engineering Excellence & Collaboration:

• Participate in and lead technical design reviews, ensuring alignment with established engineering standards.
• Contribute to planning and prioritization across concurrent data projects, breaking down tasks, identifying risks, and maintaining delivery momentum.
• Provide visibility into team progress, workloads, and potential bottlenecks, escalating issues where needed.
• Support resourcing efforts by identifying capacity gaps and recommending solutions such as internal alignment or contractor engagement.
• Encourage cross-team knowledge sharing and alignment on engineering practices.

Leadership & Communication:

• Demonstrate strong project management and organizational abilities, balancing technical depth with delivery focus.
• Prepare and present technical solutions and recommendations for internal stakeholders and client discussions.
• Ensure all technical contributions align with product goals and overall data architecture strategy.

Skills & Experience:

• Proficiency in Python (data processing, automation, APIs).
• Advanced SQL skills (optimization, data transformation, complex queries).
• Hands-on experience with Snowflake (data warehousing, schema design, performance tuning).
• Working knowledge of cloud data platform - AWS and pipeline orchestration tools (Airflow, dbt, etc.).
• Working knowledge of AWS Glue, RDS, Aurora, Redshift
• Experience with Git, CI/CD, and modern engineering workflows.
• Strong analytical, communication, and collaboration skills.

Why You'll Love Working Here:

• Collaborate with talented engineers on data challenges that drive real business impact.
• Work with a modern cloud data stack and best-in-class tools.
• Be part of a culture that values ownership, learning, and continuous improvement.

Location: DGS India - Bengaluru - Manyata N1 Block

Brand: Merkle

Time Type: Full time

Contract Type: Permanent