Bangalore, Karnataka, India
Information Technology
Full-Time
Proclink
Overview
Job Summary
Data Engineer with strong hands-on experience in Looker, Snowflake, AWS Cloud, and Python (PySpark).
This role focuses on creating impactful data visualizations and dashboards, building and optimizing data pipelines, and supporting cloud-based workflows.
Key Responsibilities
Data Engineer with strong hands-on experience in Looker, Snowflake, AWS Cloud, and Python (PySpark).
This role focuses on creating impactful data visualizations and dashboards, building and optimizing data pipelines, and supporting cloud-based workflows.
Key Responsibilities
- Design and develop Looker dashboards and data visualizations to meet business requirements.
- Write and optimize complex SQL queries in Snowflake for data transformation and reporting.
- Collaborate with stakeholders to understand reporting needs and translate them into Looker models and explores.
- Support and maintain data pipelines in AWS Cloud, particularly using Amazon MWAA (Airflow).
- Work with PySpark to process large-scale datasets when needed.
- Occasionally contribute to infrastructure-as-code tasks using Terraform for cloud resource provisioning.
- Ensure data quality, reliability, and governance across all data workflows.
- Collaborate with cross-functional teams including data analysts, engineers, and business stakeholders.
- 3+ years of experience with Looker.
- Strong hands-on experience with Snowflake and SQL.
- Proficiency in AWS Cloud Services (especially Airflow).
- Experience with Python and PySpark for data processing.
- Familiarity with Terraform and Infrastructure as Code (IaC) principles.
- Good understanding of data modeling and BI best practices.
- 60% focus on Looker (dashboarding, visualization, SQL in Snowflake).
- 40% focus on AWS Cloud and data engineering (Airflow, PySpark, Terraform).
- Experience in agile development environments.
- Excellent problem-solving and communication skills.
- Ability to work independently and manage multiple priorities.
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