Crealytics

Senior Data Engineer

Crealytics

full-time

Posted on:

Location Type: Remote

Location: India

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Job Level

Senior

Tech Stack

ApacheBigQueryCloudGoogle Cloud PlatformKafkaKubernetesPythonRubyScalaSparkSQLTerraform

About the role

  • Build analytical data products and provide valuable insights to business stakeholders in innovative leading e-commerce brands
  • Design and deploy features for our cloud-based Data Lake and our Customer Lifetime Value (CLV) product in an agile, test-driven environment
  • Design schemas and datalakes and datamarts
  • Build scalable data-processing pipelines in the cloud using technologies like Apache Spark, Hive, BigQuery, micro-services, Kubernetes
  • Use Python and SQL to analyze digital marketing performance

Requirements

  • 5+ years of data engineering and development experience
  • Passionate about data with a strong ability to learn new technologies
  • Successfully completed a degree in computer science, software engineering or applied statistics or similar
  • Proficient in Python and ideally in the following programming languages: Scala, Ruby, GoLang
  • Expert level experience with Google cloud platform, BigQuery and SQL
  • Familiarity with big data technologies like Spark and Hive, event-driven architectures (e.g. Pub/sub, Kafka)
  • Experience with infrastructure-as-Code (IaC, e.g. Terraform) tools is a plus
  • Familiar with building data foundations, Data lakes and datamarts to be used in analytical dashboards
  • Ideally, have experience in digital marketing, marketing attribution and ad platforms APIs, e.g. Google ads API and Bing API
  • Optional: Machine learning, interest in AI, familiar with statistical A/B testing, design of experiments.
Benefits
  • We encourage your personal development, offering individual external and internal training
  • conference visits
  • regular appraisals
  • remote work model that enables you to blend working from different locations
  • accommodation is provided.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata developmentPythonSQLScalaRubyGoLangApache SparkHiveBigQuery
Soft Skills
passionate about datastrong ability to learn new technologies
Certifications
degree in computer sciencedegree in software engineeringdegree in applied statistics