Senior Developer(Senior Data Science Engineer)

Hiring

Arctic Wolf

Bengaluru · IndiaFull-time· Today

Experience

5–10 yrs

Work Type

Full-time

Domain

Cybersecurity

Core SkillsMust Have

PythonAWSData pipelinesETLELTStatistical analysisApplied machine learningDistributed data processingSystem design

What You'll Do

1Analyze complex, large-scale datasets to uncover trends, patterns, anomalies, and strategic insights

2Design, build, and optimize data pipelines, ETL/ELT flows, and analytical models using AWS services—and optionally Databricks

3Identify inefficiencies, bottlenecks, and data quality issues; recommend scalable, long-term solutions

4Implement and tune distributed data processing workflows (Spark, EMR, Glue, or Databricks)

5Leverage analytics and statistical techniques to build models, derive insights, and support predictive capabilities

6Collaborate with engineering, product, and business teams to define and deliver data-driven solutions

7Perform root-cause analyses on data pipeline failures and optimize infrastructure for reliability and cost-effectiveness

8Develop dashboards, tools, or automation that improve visibility and decision-making

9Document system architecture, analytical methodologies, and data engineering best practices

10Stay up-to-date with modern data platforms (including Databricks), cloud technologies, and scalable data design patterns

Requirements

EducationAdvanced degree in Computer Science, Data Science, Engineering, Statistics, or related field (preferred)

Nice to HaveOptional

DatabricksSparkEMRGlueSQLQuery tuningAWS cost optimizationCloud monitoringAirflowStep FunctionsEvent-driven architecturesMLOpsDockerECSEKSServerless

Domain

Cybersecurity

Industry

Cybersecurity