Data Engineer

TechDigital Group; Secaucus (NJ); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a talented Data Engineer to join their innovative team. In this pivotal role, you will design and optimize data pipelines and architectures, ensuring data availability for data-driven decision-making. Your expertise in data management, warehousing, and ETL processes will be crucial as you collaborate with data scientists and analysts to meet business needs. This dynamic position offers the opportunity to work with cutting-edge technologies and contribute to impactful projects that drive the company's success. If you're passionate about data and eager to make a difference, this role is perfect for you.

Qualifications

• 5+ years of experience as a Data Engineer or in a similar role.
• Strong understanding of data management practices and data governance.

Responsibilities

• Design, construct, and maintain scalable data management systems.
• Integrate structured and unstructured data into a unified data system.

Skills

Data Management

Data Warehousing

ETL Processes

Data Integration

Performance Tuning

Data Governance

Collaboration

Problem Solving

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Information Technology

Tools

Snowflake SQL

AWS

Google Cloud

Azure

Matillion ETL

Hadoop

Spark

MySQL

PostgreSQL

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 data-driven decision-making processes. This role requires a deep understanding of data management practices, data warehousing, and ETL processes.

Key Responsibilities:

1. 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.
2. Data Integration: Integrate structured and unstructured data from multiple data sources into a unified data system, ensuring data quality and consistency.
3. 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.
4. Data Processing: Implement data processing frameworks (e.g., Hadoop, Spark) to process large datasets in real-time or batch processing.
5. Automation and Monitoring: Automate manual processes, optimize data delivery, and develop data monitoring systems to ensure data integrity and accuracy.
6. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data needs and provide technical solutions that meet business requirements.
7. Data Governance: Ensure data governance policies are followed, including data security, data privacy, and compliance with regulations.
8. Performance Tuning: Optimize the performance of ETL processes, databases, and data pipelines to handle large volumes of data and reduce processing times.

Required Qualifications:

1. Bachelor's degree in computer science, Engineering, Information Technology, or a related field.
2. 5+ years of experience as a Data Engineer or in a similar role.
3. Proficiency in Snowflake SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
4. Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
5. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
6. Good to have hands-on programming languages like Python.
7. Strong understanding of Matillion ETL tool and processes.
8. Experience with data modeling and data architecture design.