Analytics Engineer

Jaden Executive Search

The ideal candidate will use their passion for big data and analytics to provide insights into the business covering a range of topics. They will be responsible for developing an in-house ETL-driven toolchain and conducting both recurring as well as on-demand analyses for business users, research folks, and customers.

Responsibilities

- Build optimized Spark-based data processing jobs to generate analytical models and

deploy them into Airflow

- Build Analytical models and Data Models to align with Product strategy

- Understand the day-to-day issues that our business faces, by closely communicating

with stakeholders across the board

- Build data pipelines to facilitate quality checks on datasets across the board; thereby

ensuring a seamless flow of high-quality data into the platform

- Develop a diverse range of visualizations to convey complicated data in a

straightforward fashion, for both internal and external audiences

Qualifications

- Bachelor's or Master's degree.

- 2 - 4 years of experience in the Analytics/engineering domain.

- Proficient in PySpark, SQL (Google BigQuery, etc.), and CI/CD driven deployment

- Proficient in Big-Data related toolkits, Kubernetes and Docker

- Experience in working with the Airflow orchestration engine.

- Redash or Tableau or PowerBI or equivalent visualization tools.

- Problem-solving skills

- Strong communication/interpersonal skills

• Experience

  2 - 4 Years

• No. of Openings

  1

• Education

  Any Bachelor Degree

• Role

  Analytics Engineer

• Industry Type

  Recruitment Consulting / Staffing Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office