immediate interview for Data Engineer @ 100% Remote

immediate interview for Data Engineer @ 100% Remote

Posted Today by 1764271660

Negotiable
Outside
Remote
USA

Summary: Seeking a highly skilled Data Engineer to join a growing data and analytics team at Saxon Global Inc. The role involves designing, building, and optimizing data pipelines and workflows to enhance business decision-making. The position is fully remote and requires expertise in various data engineering technologies and methodologies. Candidates must be prepared to work on a W2 basis for a duration of 6-12 months.

Key Responsibilities:

  • Develop and maintain scalable ETL/ELT pipelines using Apache Airflow, dbt, and PySpark.
  • Design and implement data models and transformations for analytics and reporting.
  • Work with BigQuery and other cloud-based data warehouses to manage large-scale datasets.
  • Optimize data workflows for performance and cost efficiency.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
  • Ensure data quality, governance, and compliance with security standards.

Key Skills:

  • Strong proficiency in Python 3 for data engineering and automation tasks.
  • Hands-on experience with Apache Spark 3 and PySpark for distributed data processing.
  • Expertise in Apache Airflow for workflow orchestration.
  • Solid understanding of pandas for data manipulation and analysis.
  • Experience with dbt for data transformation and modeling.
  • Familiarity with BigQuery or similar cloud data warehouses.
  • Knowledge of SQL and performance tuning.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Hello,

I am Mohammed Dastagir with Saxon Global Inc wanted to let you know about the job opportunity for Data Engineer position if interested please share your updated resume along with expecting rate.

Job Title: Data Engineer

Location: 100% Remote

Duration: 6-12 months

Only on w2

About the Role:

Seeking a highly skilled Data Engineer to join our growing data and analytics team. In this role, you will design, build, and optimize data pipelines and workflows that power insights across our organization. You will work with cutting-edge technologies to ensure data is accessible, reliable, and actionable for business decision-making.

Key Responsibilities:

  • Develop and maintain scalable ETL/ELT pipelines using Apache Airflow, dbt, and PySpark.
  • Design and implement data models and transformations for analytics and reporting.
  • Work with BigQuery and other cloud-based data warehouses to manage large-scale datasets.
  • Optimize data workflows for performance and cost efficiency.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
  • Ensure data quality, governance, and compliance with security standards.

Required Skills & Qualifications:

  • Strong proficiency in Python 3 for data engineering and automation tasks.
  • Hands-on experience with Apache Spark 3 and PySpark for distributed data processing.
  • Expertise in Apache Airflow for workflow orchestration.
  • Solid understanding of pandas for data manipulation and analysis.
  • Experience with dbt for data transformation and modeling.
  • Familiarity with BigQuery or similar cloud data warehouses.
  • Knowledge of SQL and performance tuning.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications

  • Experience with CI/CD for data pipelines.
  • Knowledge of data governance and security best practices.
  • Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure).
  • Excellent communication and collaboration skills.

Screening

  • Coderbyte SQL & Python

Best Regards

Mohammed Dastagir

Resource Manager

Saxon Global Inc.

a:

Linked in:

w: e: dastagir.m