Data Analytics Engineer

Simarn Solutions

Secaucus (NJ)

On-site

USD 120,000 - 160,000

Full time

36 hours ago

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Job summary

Simarn Solutions seeks an experienced Data Analytics Engineer for our Secaucus, NJ office to design and optimize scalable data pipelines on GCP. You will transform data into actionable insights using BigQuery, Dataflow, and Looker, and collaborate with data scientists and stakeholders to deliver analytics products.

The role requires strong Python development, ETL/ELT implementation, and a solid grasp of data modeling, governance, and performance tuning.

Qualifications

6–10 years of overall Data Analytics Engineering experience.
Strong hands‑on experience with Google Cloud Platform (GCP).
Strong experience with BigQuery.
Hands‑on experience with Dataflow.
Experience developing dashboards and reporting solutions using Looker.
Strong programming experience with Python.
Experience with ETL/ELT pipeline development.
Strong understanding of data modeling and data transformation.
Experience with data quality, governance, monitoring, and troubleshooting.
Experience optimizing BigQuery queries, partitioning, and clustering.
Strong communication and collaboration skills.

Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery.
Develop data models, transformations, and analytics workflows.
Collaborate with data scientists, analysts, and business stakeholders to deliver insights through Looker dashboards and reports.
Ensure data quality, reliability, governance, and consistency across multiple data sources.
Optimize BigQuery queries, partitions, and clustering for performance and cost efficiency.
Develop Python scripts for automation, data processing, and API integrations.
Monitor, troubleshoot, and improve data infrastructure performance and reliability.
Document data models, pipelines, dashboards, and technical processes.
Work closely with cross-functional teams to support data-driven business initiatives.

Skills

GCP expertise

BigQuery

Dataflow

Looker

Python

ETL/ELT

Data modeling

Data governance

SQL

Dashboards

Tools

Dataform

BigQuery (tool)

Looker

Job description

Job Title: Data Analytics Engineer – GCP | BigQuery | Dataflow | Looker | Python

We are seeking an experienced Data Analytics Engineer with strong hands‑on experience in Google Cloud Platform (GCP), BigQuery, Dataflow, Looker, and Python to design, develop, and optimize scalable data pipelines and analytics solutions.

The ideal candidate will have a strong combination of data engineering and analytics expertise, with experience building reliable ETL/ELT pipelines, developing data models, optimizing BigQuery, and delivering actionable insights through Looker dashboards and reports.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, and BigQuery.
Develop data models, transformations, and analytics workflows.
Collaborate with data scientists, analysts, and business stakeholders to deliver insights through Looker dashboards and reports.
Ensure data quality, reliability, governance, and consistency across multiple data sources.
Optimize BigQuery queries, partitions, and clustering for performance and cost efficiency.
Develop Python scripts for automation, data processing, and API integrations.
Monitor, troubleshoot, and improve data infrastructure performance and reliability.
Document data models, pipelines, dashboards, and technical processes.
Work closely with cross-functional teams to support data-driven business initiatives.

Required Skills & Experience