Hi ,
This is Nida Tahseen from Zodiac solutions Inc , I have got interesting Job opportunities across the USA .Below is the Job Description ,if you are looking a job change kindly share your resume .
The Azure Data Engineer (Standard) is a senior-level role responsible for designing and implementing complex data processing solutions on the Azure platform. They work with other data engineers and architects to develop scalable, reliable, and efficient data pipelines that meet business requirements.
Visa Only independent visa holders
Tax term W2 and 1099 only
Job Description
Preferred contractor Location:- US, Remote
Desired Start Date:- Immediate
Skill Level:- Mid-Level Engineer ( 3-5 years of experience)
Rate- Fixed
Role Overview
As a Mid-Level Data Engineer, you will be responsible for designing, developing, and maintaining efficient and reliable data pipelines. You will work closely with stakeholders across the company to gather business requirements, build data models, and ensure data quality and accessibility. Your expertise in Python, SQL, Airflow, and Spark will be crucial in optimizing our data infrastructure and enabling data-driven decision-making.
Key Responsibilities
- Data Pipeline Development: Design, build, and maintain scalable data pipelines using Python, SQL, Airflow, and Spark.
- Business Requirements Gathering: Collaborate with stakeholders to understand and translate business requirements into technical specifications.
- Data Modeling: Develop and implement data models that support analytics and reporting needs.
- Data Quality and Governance: Ensure data accuracy, consistency, and reliability by implementing robust data validation and quality checks.
- Stakeholder Collaboration: Work with cross-functional teams, including data analysts, data scientists, and business leaders, to deliver high-quality data solutions.
- Performance Optimization: Continuously monitor and optimize data pipelines for performance, scalability, and cost-efficiency.
- Monitoring and Observability: Build and implement monitoring and observability metrics to ensure data quality and detect anomalies in data pipelines.
- Documentation and Communication: Maintain clear and comprehensive documentation of data processes and communicate technical concepts effectively to non-technical stakeholders.
Qualifications
- Experience: 3+ years of experience in a data engineering or analytics engineering role.
- Technical Skills: Proficiency in Python, SQL, Airflow, and Spark.
- Data Pipeline Expertise: Strong experience in building and maintaining robust data pipelines and ETL processes.
- Analytical Skills: Ability to gather business requirements and translate them into effective data models.
- Communication: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical audiences.
- Collaboration: Proven ability to work effectively in a collaborative, cross-functional environment.
- Education: Bachelor's degree in computer science, Engineering, Information Systems, or a related field.
Preferred Qualifications
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Knowledge of data governance and data security best practices.
Nida Tahseen
Sales Account Manager
nida@zodiac-solutions.com
Contact Details : +1 484-272-8177|