Job Description

About the Role

We are seeking an experienced

Senior Data Engineer / Data Scientist

proficient in

Big Data technologies, Hadoop (MapR)

, and

Google Cloud Platform (GCP)

tools such as

BigQuery and DataFlow

.
This role blends deep technical expertise in

data engineering

and

data science

-- designing pipelines, performing advanced analytics, and deriving actionable insights from complex datasets. The ideal candidate will lead end-to-end data initiatives, collaborating with business, product, and technical stakeholders to enable data-driven decision-making.

Key Responsibilities

Coordinate and lead data conversations with cross-functional stakeholders and source-system owners. Explore and analyze large, complex datasets to identify patterns, anomalies, and opportunities. Design and implement

ETL / ELT data pipelines

using

Airflow

,

BigQuery

, and

MapR Hadoop

. Develop, train, and deploy

machine-learning (ML)

and

time-series forecasting

models. Collaborate with business teams to translate requirements into analytics solutions and insights. Document requirements, processes, and findings using

Confluence

and

JIRA

. Drive performance optimization in data pipelines (scheduling, staging, and modeling). Validate and monitor data quality, availability, and accuracy across pipelines. Present insights and recommendations clearly to technical and non-technical audiences. Guide junior team members on analytics best practices and project delivery.

Required Qualifications

Bachelor's / Master's degree

in Data Science, Statistics, Economics, Mathematics, or related field (PhD preferred).

10 years

of experience in

data analytics / engineering

, including

cloud and machine-learning projects

. Expertise in

Big Data and Hadoop Ecosystem (MapR)

. Advanced proficiency with

Google Cloud Platform (GCP)

, particularly

BigQuery

,

DataFlow

,

Pub/Sub

, and

Cloud Storage

.

4 - 6 years

of experience in

Python

,

R

, and SQLfor data manipulation and modeling. Hands-on experience with

Apache Airflow

for data orchestration. Strong understanding of

regression

,

time-series forecasting

, and

causal inference

models. Familiarity with

anomaly detection

and other ML algorithms. Experience with

Agile / Scrum

,

JIRA

, and stakeholder management. Excellent analytical, communication, and presentation skills.
Job Type: Full-time

Pay: $50.00 per hour

Expected hours: 40 per week

Experience:

Big Data / Hadoop: 6 years (required) Python / R for Data Analysis & Modeling: 6 years (required) * Airflow (Data Pipeline Orchestration): 3 years (required)