Data Engineering | Sunyvale CA | Long Term | C2C | W2 | FTE

 

Certainly! Here's a detailed job description for a Data Engineering role based in Sunnyvale, CA:

Job Role: Data Engineering

Location: Sunnyvale, CA

Duration: Long Term

Job Type: C2C/W2/FTE (Contract/Full-Time Equivalent)

Job Description:

We are looking for a skilled Data Engineer to join our team in Sunnyvale, CA. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data processing and storage solutions.

Key Responsibilities:

1. Data Pipeline Development: Design and develop robust, scalable, and high-performance data pipelines to ingest, transform, and store large volumes of data.

2. Data Integration: Integrate data from various sources (internal and external) into centralized data platforms.

3. Data Modeling: Design and implement data models and schemas to support business requirements.

4. Data Quality: Implement data quality checks and ensure data accuracy, consistency, and reliability.

5. Performance Optimization: Optimize data pipelines and processes for improved efficiency and performance.

6. Cloud Platforms: Utilize cloud platforms (e.g., AWS, GCP, Azure) for building and deploying data solutions.

7. Monitoring and Maintenance: Monitor data pipelines, troubleshoot issues, and perform maintenance as needed.

8. Documentation: Create and maintain technical documentation, including data flow diagrams, architecture diagrams, and process documentation.

Required Skills and Qualifications:

• Programming Languages: Proficiency in programming languages such as Python, Java, or Scala.
• Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, Kafka, etc.
• Database Skills: Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
• Data Warehousing: Familiarity with data warehousing concepts and technologies (e.g., Redshift, Snowflake).
• ETL Tools: Experience with ETL (Extract, Transform, Load) tools and frameworks.
• Version Control: Familiarity with version control systems (e.g., Git).
• Problem-Solving: Strong analytical and problem-solving skills with a focus on delivering scalable solutions.
• Team Collaboration: Excellent communication and collaboration skills to work effectively within a team environment.

Preferred Qualifications:

• Education: A bachelor’s degree in Computer Science, Engineering, or a related field; a master’s degree is a plus.
• Experience: Previous experience in data engineering or related roles, preferably in a technology or e-commerce environment.
• Cloud Certification: Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Google Professional Cloud Architect).

Job Type and Duration:

• Contract (C2C/W2): Specifies whether the role is contract-based, with options for Corp-to-Corp (C2C) or as an employee (W2).
• Full-Time Equivalent (FTE): Indicates whether the role is also open for permanent employment.
• Duration: Listed as "Long Term," indicating the expectation for a sustained engagement rather than short-term.

Contact Information:

For more information about this opportunity or to apply, please contact eakansh.srivastava@dataisgood.com

This role presents an exciting opportunity to contribute to the design and implementation of scalable data solutions, leveraging cutting-edge technologies in a collaborative and innovative environment.