Job Description

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines. You will be responsible for developing ETL processes, ensuring data integrity, and working with large datasets to support business intelligence initiatives. Experience with distributed computing frameworks such as Apache Spark and cloud data warehouses like Google BigQuery is essential.

Responsibilities

• Design and develop scalable data pipelines.
• Build and maintain robust ETL processes.
• Ensure data accuracy, consistency, and quality.
• Work with large-scale data sets for analytics and reporting.
• Collaborate with data analysts and business teams.
• Utilize distributed computing and cloud data solutions.

Skills & Qualifications

• 4+ years of experience as a Data Engineer.
• Proficiency in Python, SQL, BigQuery, ETL, Data Pipelines, Apache Spark.
• Hands-on experience with cloud data warehouses and distributed systems.
• Strong understanding of data modeling and pipeline architecture.
• Excellent analytical and problem-solving abilities.

Benefits

• Competitive salary and benefits package.
• Flexible remote work setup.
• Opportunities for continuous learning and career growth.
• Supportive, innovative, and inclusive work culture.