Job Description: Senior Data Engineer

Experience: 11+ Years
Location: Mountain View, California
Job Type: W2

Role Overview

We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have strong experience in data engineering, cloud platforms, big data technologies, and database management.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.

• Build and optimize data processing workflows.

• Work with large datasets and ensure data quality and reliability.

• Develop data solutions using cloud platforms and big data technologies.

• Collaborate with data scientists, analysts, and engineering teams.

• Optimize database performance and troubleshoot data-related issues.

• Implement data integration and automation solutions.

Required Skills

• 11+ years of experience in Data Engineering or related fields.

• Strong programming experience in Python and SQL.

• Hands-on experience with Apache Spark and PySpark.

• Experience with ETL/ELT tools and data pipeline development.

• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Experience with Snowflake, Databricks, Redshift, or BigQuery.

• Knowledge of Kafka, Airflow, and data warehousing concepts.

• Experience with relational and NoSQL databases.

• Familiarity with Git, CI/CD, and Agile methodologies.

Preferred Qualifications

• Experience with Docker and Kubernetes.

• Knowledge of data modeling and data architecture.

• Strong analytical, communication, and problem-solving skills.

• Experience working with large-scale enterprise data platforms.