Tech Junction Ltd
Senior Data Engineer | Galaxy iTech | Sunnyvale, CA
Tech Junction Ltd, Sunnyvale, California, United States, 94087
Overview
Job Title: Senior Data Engineer | Galaxy iTech | Sunnyvale, CA
Recruiting Company: Galaxy iTech
Job Location: Sunnyvale, California (Onsite 3 days/week)
Job Type: Full-Time
Application Method: Send your CV to amitkumar@galaxyitech.com (mention Senior Data Engineer in the subject line)
Interview Requirement: Must be willing to attend face-to-face interview in Cupertino, CA
Visa: H1B and USC candidates only
Position Summary We are hiring a Senior Data Engineer with strong expertise in SQL, Python, and modern data platforms to design and optimize data pipelines for enterprise-scale applications. This role is ideal for professionals passionate about building robust, scalable data solutions and collaborating with cross-functional teams.
Detailed Job Description As a Senior Data Engineer, you will develop and maintain data pipelines, optimize database performance, and ensure data integrity across multiple systems. You will work with Snowflake and advanced SQL queries to support analytics and reporting needs. The role requires strong programming skills in Python and the ability to troubleshoot complex data workflows in a fast-paced environment.
Key Responsibilities
Design, build, and maintain scalable data pipelines for enterprise applications.
Write advanced SQL queries for data extraction, transformation, and analysis.
Develop Python scripts for automation and data processing tasks.
Optimize Snowflake database performance and manage data models.
Collaborate with data analysts and business teams to deliver reliable solutions.
Required Qualifications & Skills
Minimum 8 years of experience in data engineering.
Strong expertise in SQL and Python programming.
Hands-on experience with data pipeline creation and ETL processes.
Good understanding of Snowflake database architecture.
Excellent communication and problem-solving skills.
Nice-to-Have Skills
Experience with cloud platforms (AWS, Azure, GCP).
Familiarity with big data tools (Spark, Hadoop).
Knowledge of CI/CD pipelines and DevOps practices.
Exposure to data governance and security best practices.
Certifications in Snowflake or cloud technologies.
Recruitment Pro Tip Highlight your experience in building data pipelines and optimizing Snowflake environments. Including examples of complex SQL queries and Python automation projects will make your application stand out.
#J-18808-Ljbffr
Position Summary We are hiring a Senior Data Engineer with strong expertise in SQL, Python, and modern data platforms to design and optimize data pipelines for enterprise-scale applications. This role is ideal for professionals passionate about building robust, scalable data solutions and collaborating with cross-functional teams.
Detailed Job Description As a Senior Data Engineer, you will develop and maintain data pipelines, optimize database performance, and ensure data integrity across multiple systems. You will work with Snowflake and advanced SQL queries to support analytics and reporting needs. The role requires strong programming skills in Python and the ability to troubleshoot complex data workflows in a fast-paced environment.
Key Responsibilities
Design, build, and maintain scalable data pipelines for enterprise applications.
Write advanced SQL queries for data extraction, transformation, and analysis.
Develop Python scripts for automation and data processing tasks.
Optimize Snowflake database performance and manage data models.
Collaborate with data analysts and business teams to deliver reliable solutions.
Required Qualifications & Skills
Minimum 8 years of experience in data engineering.
Strong expertise in SQL and Python programming.
Hands-on experience with data pipeline creation and ETL processes.
Good understanding of Snowflake database architecture.
Excellent communication and problem-solving skills.
Nice-to-Have Skills
Experience with cloud platforms (AWS, Azure, GCP).
Familiarity with big data tools (Spark, Hadoop).
Knowledge of CI/CD pipelines and DevOps practices.
Exposure to data governance and security best practices.
Certifications in Snowflake or cloud technologies.
Recruitment Pro Tip Highlight your experience in building data pipelines and optimizing Snowflake environments. Including examples of complex SQL queries and Python automation projects will make your application stand out.
#J-18808-Ljbffr