Data Engineer

2 - 7 years

16 - 18 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Data Analytics Engineer
Our Enterprise Data & Analytics (EDA) is looking for a Data Engineer to join our growing data engineering team. We are a globally distributed remote first team. You ll work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle. You will craft and develop curated data products, applying standard architectural & data modeling practices . You will be primarily developing Data Warehouse Solutions using technologies such as dbt, Airflow, terraform.
What you get to do every single day:
  • Collaborate with team members and business partners to collect business requirements, define successful analytics outcomes and design data models
  • Use best engineering practices such as version control system, CI/CD, code review, pair programming
  • Design, build, and maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reporting
  • Design & build ELT based data models using SQL & dbt
  • Build analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
  • Work with data and analytics experts to strive for greater functionality in our data systems
What you bring to the role:
Basic Qualifications
  • 2+ years of data / analytics engineering experience building, working & maintaining data pipelines & ETL processes on big data environments
  • Basic knowledge in modern as well as classic Data Modeling - Kimball, Innmon, etc
  • Experience with any of the programming language: Python, Go, Java, Scala, we use primarily Python
  • SQL knowledge and experience working with Cloud columnar databases (We use Snowflake) as well as working familiarity with a variety of databases
  • Familiarity with processes supporting data transformation, data structures, metadata, dependency and workload management
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong communication skills and be adaptive for changing requirements and tech stack.
Preferred Qualifications
  • Demonstrated experience in one or many business domains
  • 1+ completed projects with dbt
  • Proficient knowledge in SQL and/or python
  • Experience using Airflow as data orchestration tool
What does our data stack looks like:
  • ELT (Snowflake, dbt, Airflow, Kafka, HighTouch)
  • BI (Tableau, Looker)
  • Infrastructure (GCP, AWS, Kubernetes, Terraform, Github Actions)
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law.

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Software Development

San Francisco California

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