Data Analytics Engineer

Indotronix UK; New Jersey; Remote; USD 80,000 - 100,000; Full time

Job summary

A leading technology solutions provider is looking for a skilled Data Analytics Engineer to design, build, and optimize scalable data pipelines. The ideal candidate will have expertise in Google Cloud Platform and modern data analytics tools, enabling actionable insights for stakeholders. This role offers the flexibility of remote work from anywhere in the United States, particularly New Jersey.

Qualifications

• Strong experience in data engineering and analytics tools.
• Capable of designing and building scalable data pipelines.
• Experience in ensuring data quality and reliability.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Collaborate with teams to deliver insights via dashboards.
• Optimize BigQuery queries for performance and cost efficiency.

Skills

Google Cloud Platform (GCP)

BigQuery

Dataflow

Dataform

Looker

Python

Job description

Remote Job - Yes United States|Posted-08/27/25

Job Description

Role - Data Analytics Engineer
Location - Secaucus, NJ(Remote)

Job Details:
We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery.
• Implement data modeling, transformation, and orchestration best practices for analytics workflows.
• Collaborate with data scientists, analysts, and business teams to deliver insights via Looker dashboards and reports.
• Ensure data reliability, quality, and governance across multiple data sources.
• Optimize BigQuery queries, partitions, and clustering for performance and cost efficiency.
• Write Python scripts for automation, data processing, and integration with APIs.
• Implement CI/CD practices for data pipeline deployments.
• Monitor, troubleshoot, and improve data infrastructure performance and reliability.
• Document data models, pipelines, and dashboards to ensure transparency and maintainability.

Company Overview

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers. Apptad is relentlessly reinventing the outlook of how companies leverage data.

Our mission is to enable our customers to solve their biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Core Values

• Customer Focus: We listen carefully to the needs of our clients so that we know what’s important for their business and can design a customized solution for their business.
• Innovation: As a firm, we believe in constantly upgrading ourselves and improving our solutions to adapt to the changing landscape of technology.
• Accountability and Ethics: We believe in taking our commitments as seriously as our customers and living up to them while building trust for a long term business relationship.