Data Engineer

NeenOpal Inc.; Newark (NJ); Hybride; USD 65 000 - 80 000; Plein temps

Avantages offerts par ce poste

Health insurance

Paid time off

Opportunities for professional growth

Résumé du poste

A global consulting firm is seeking a full-time Data Engineer in Newark, NJ. You'll design and manage data engineering solutions, build and optimize data pipelines, and collaborate with teams across the US and globally. The ideal candidate has 2+ years of ETL experience, is proficient in Python and SQL, and is familiar with AWS and Azure services. This role offers a salary range of $65,000–$80,000 along with health insurance and paid time off for professional development.

Qualifications

• Minimum 2+ years of ETL process design and development experience.
• Strong experience with AWS and/or Azure cloud platforms.
• Excellent communication skills to articulate technical concepts.

Responsabilités

• Design and manage data pipelines for efficient data flow.
• Integrate and transform data using industry-standard tools.
• Develop and manage relational databases to ensure data integrity.

Connaissances

Data Pipeline Development

Data Integration

Python

SQL

AWS Services

Azure Services

Data Warehousing

Collaboration

Communication

Outils

AWS Glue

Azure Data Factory

Snowflake

Amazon Redshift

SQL Server

MySQL

PostgreSQL

Description du poste

NeenOpal is a global consulting firm specializing in Data Science and Business Intelligence, with offices in Bengaluru, Newark, and Fredericton. We provide end-to-end solutions tailored to the unique needs of businesses, from startups to large organizations, across domains like digital strategy, sales and marketing, supply chain, and finance. Our mission is to help organizations achieve operational excellence and transform into data-driven enterprises.

Role Description

This is a full-time, hybrid, Data Engineer role located in Newark, NJ. The Data Engineer will be responsible for designing, implementing, and managing data engineering solutions to support business needs. Day-to-day tasks include building and optimizing data pipelines, developing and maintaining data models and ETL processes, managing data warehousing solutions, and contributing to the organization’s data analytics initiatives. Collaboration with cross-functional teams to ensure robust data infrastructure will be a key aspect of this role.

Key Responsibilities

• Data Pipeline Development: Design, implement, and manage robust data pipelines to ensure efficient data flow into data warehouses. Automate ETL processes using Python and advanced data engineering tools.
• Data Integration: Integrate and transform data using industry-standard tools. Experience required with:
• AWS Services: AWS Glue, Data Pipeline, Redshift, and S3.
• Azure Services: Azure Data Factory, Synapse Analytics, and Blob Storage.
• Data Warehousing: Implement and optimize solutions using Snowflake and Amazon Redshift.
• Database Management: Develop and manage relational databases (SQL Server, MySQL, PostgreSQL) to ensure data integrity.
• Performance Optimization: Continuously monitor and improve data processing workflows and apply best practices for query optimization.
• Global Collaboration: Work closely with cross‑functional teams in the US, India, and Canada to deliver high‑quality solutions.
• Governance & Support: Document ETL processes and data mappings in line with governance standards. Diagnose and resolve data‑related issues promptly.

Required Skills and Experience

• Experience: Minimum 2+ years of experience designing and developing ETL processes (AWS Glue, Azure Data Factory, or similar).
• Integration: Experience integrating data via RESTful/ GraphQL APIs.
• Programming: Proficient in Python for ETL automation and SQL for database management.
• Cloud Platforms: Strong experience with AWS or Azure data services. (GCP familiarity is a plus) .
• Data Warehousing: Expertise with Snowflake, Amazon Redshift, or Azure Synapse Analytics.
• Integration: Experience integrating data via RESTful APIs.
• Communication: Excellent articulation skills to explain technical work directly to clients and stakeholders.
• Authorization: Must have valid work authorization in the United States.
• Salary Range: $65,000– $80,000 per year
• Benefits: This role includes health insurance, paid time off, and opportunities for professional growth and continuous learning within a fast‑growing global analytics company.

Equal Opportunity Employer

NeenOpal Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.