Senior Data Engineer - Python, SQL, ETL (Airflow), Visualization

Artmac; San Jose (CA); On-site; USD 180,000 - 220,000; Full time

Job summary

A technology consulting company is seeking a Senior Data Engineer in San Jose, California. This role includes designing scalable data pipelines using Python and SQL, collaborating with teams to optimize data processes, and requires 8-10 years of experience in data engineering. The ideal candidate will have strong skills in data visualization and pipeline orchestration tools. This is a contract position.

Qualifications

• 5-7 years of experience in data engineering or a related field.
• Experience with data pipeline orchestration tools.
• Experience with data visualization tools.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python.
• Write efficient SQL queries to extract and analyze data.
• Collaborate with data scientists and stakeholders to gather data requirements.

Skills

Data engineering

Analytical skills

Problem-solving skills

Python

SQL

Data visualization (Tableau, Power BI)

Data pipeline orchestration (Airflow)

Cloud platforms (AWS, Azure, Google Cloud)

Experience with version control systems (Git)

Knowledge of ETL processes

Education

Bachelor's degree in Computer Science, IT, or related field

Tools

Apache Airflow

Tableau

Power BI

Git

MySQL

PostgreSQL

Oracle

Job description

Who We Are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.

Who We Are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to customers.

Job Description

Job Title : Senior Data Engineer – Python, SQL, ETL (Airflow), Visualization

Job Type : W2/C2C

Experience : 8-10 years

Location : San Jose, California (On-Site)

Responsibilities

• 5-7 years of experience in data engineering or a related field.
• Strong analytical and problem-solving skills.
• Experience with data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
• Experience with data visualization tools such as Tableau or Power BI.
• Experience with version control systems (e.g., Git).
• Excellent communication skills, both verbal and written.
• Proficiency in Python for data pipeline development.
• Strong SQL skills with experience in relational databases (MySQL, PostgreSQL, Oracle).
• Knowledge of data warehousing concepts and ETL processes.
• Ability to work collaboratively in a team environment.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
• Design, develop, and maintain scalable data pipelines using Python.
• Write efficient SQL queries to extract, manipulate, and analyze data from relational databases such as MySQL, PostgreSQL, or Oracle.
• Collaborate with data scientists, analysts, and business stakeholders to understand and gather data requirements.
• Automate data collection and reporting processes to enhance efficiency.
• Ensure data integrity and optimize database performance through best practices.
• Develop scripts and tools for data cleaning, transformation, and visualization using tools like Tableau or Power BI.
• Document code, processes, and workflows to ensure maintainability and knowledge sharing.
  
  

Qualification

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Software Development

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