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Description
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: · 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. Technical Skills: · 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. Work Distribution: · 60% focus on Looker (dashboarding, visualization, SQL in Snowflake) · 40% focus on AWS Cloud and data engineering (Airflow, PySpark, Terraform) Preferred Qualifications: · Experience in agile development environments. · Excellent problem-solving and communication skills. · Ability to work independently and manage multiple priorities. 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. Technical Skills: · 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. Work Distribution: · 60% focus on Looker (dashboarding, visualization, SQL in Snowflake) · 40% focus on AWS Cloud and data engineering (Airflow, PySpark, Terraform) Preferred Qualifications: · Experience in agile development environments. · Excellent problem-solving and communication skills. · Ability to work independently and manage multiple priorities. Interested candidates can share resume at tisha.vaghela@proclink.com
