Analytical Product Developer

1 week ago

Bengaluru, Karnataka, India beBeeDeveloper Full time ₹ 1,04,000 - ₹ 1,30,878
Software Engineering Professional

The role requires technical expertise in software engineering techniques including full stack development of analytics products and tools to support the team.

On a day to day basis, the right person for this role will be involved in the following tasks.

- Developing application code across a range of people tools and analytics products.

- Work independently to research technology areas and innovate to produce tools & products.

- Translate high-level (often vague) requirements into a tangible prototype to drive discussion and further iterations to find the right solution.

- Collaboration and partnership cross-functionally across engineering teams and business teams.

- Assess new tasks coming to the team, quickly assess priority and take appropriate action.

- Manage multiple priorities and setting customer expectations appropriately.

- Fostering a positive, humble and open culture and consistently exhibit values of inclusion, trust and respect for others.

Required Skills and Qualifications

  • Relevant industry expertise is required across a number of technology areas as follows:
  • SQL, NoSQL languages to query and manipulate large data sets.
  • Web development technology including Python Flask, Javascript, jQuery and React.JS.
  • CSS framework knowledge such as Bootstrap, Tailwind.
  • Data modeling and system design.
  • Snowflake or equivalent enterprise data warehouse technology.
  • Relational database technologies such as Oracle, MySQL and Postgres.
  • Knowledge and experience integrating analytical products with third-party utilities using REST API and standard authentication protocols such as OIDC.
  • Linux terminal shell operation and scripting.
  • Proficient with web security concerns in a web development environment.
  • UI/UX design experience.

Benefits

We are an equal opportunity employer committed to diversity and inclusion. We believe that every individual brings their own unique perspective, skills and experiences to the table.

Preferred Qualifications

  • Third-level masters degree or bachelors degree in computer science, analytics and/or data science is preferred from an education standpoint. In addition, the following key areas are a distinct benefit.
  • Analytical reporting tools such as Tableau.
  • Advanced data processing techniques using Python libraries such as Numpy & Pandas, as well as awareness of data science libraries for use in statistical analysis techniques.
  • Github deployment, branching strategies and CI/CD pipeline integration.
  • Programming expertise building multi-processing data transformation tools and applications.
  • Docker and/or Kubernetes and deployment to cloud-based environment such as AWS.

At Apple, we make each other's ideas stronger by sharing our perspectives and experiences. We believe that everyone deserves the opportunity to reach their full potential, regardless of their background or circumstances.

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