Job Title: Data Engineer
Location: New Jersey Remote
Duration: 6 months Contract
Job Description:
We are looking for a skilled Data Engineer to join our team. The ideal candidate will have experience in building and optimizing data pipelines architectures and data sets. You will be responsible for creating and maintaining scalable data architectures ensuring data availability and enabling datadriven decisionmaking processes. This role requires a deep understanding of data management practices data warehousing ETL processes.
Job Responsibilities:
- Data Pipeline Development: Design construct test and maintain highly scalable data management systems. Develop and implement architectures that support the extraction transformation and loading (ETL) of data from various sources.
- Data Integration: Integrate structured and unstructured data from multiple data sources into a unified data system ensuring data quality and consistency.
- Data Warehousing: Build and maintain data warehouses and data lakes to store and retrieve vast amounts of data efficiently. Optimize the performance of databases and queries to meet business needs.
- Data Processing: Implement data processing frameworks (e.g. Hadoop Spark) to process large datasets in realtime or batch processing.
- Automation and Monitoring: Automate manual processes optimize data delivery and develop data monitoring systems to ensure data integrity and accuracy.
- Collaboration: Work closely with data scientists analysts and other stakeholders to understand data needs and provide technical solutions that meet business requirements.
- Data Governance: Ensure data governance policies are followed including data security data privacy and compliance with regulations.
- Performance Tuning: Optimize the performance of ETL processes databases and data pipelines to handle large volumes of data and reduce processing times.
Qualification Requirements:
- Bachelors degree in computer science Engineering Information Technology or a related field.
- 5 years of experience as a Data Engineer or in a similar role.
- Proficiency in Snowflake SQL and experience with relational databases (e.g. MySQL PostgreSQL).
- Knowledge of data warehousing solutions (e.g. Snowflake Redshift BigQuery).
- Experience with cloud platforms (e.g. AWS Google Cloud Azure).
- Good to have hands on programming languages like Python.
- Strong understanding of Matillion ETL tool and processes.
- Experience with data modeling and data architecture design.
Key Skills:
Data Engineer Snowflake Matillion SQL Data warehouse Python AWS MySQL PostgreSQL ETL.