Business Intelligence Data Engineer - Manager, Retail Customer Care

Apple

Hyderabad

On-site

INR 2,500,000 - 4,000,000

Full time

14 days+
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Job summary

Apple is seeking a hands-on BI Data Engineer Manager to lead a team of data engineers and Tableau developers. You will own data pipelines, dashboards, and reporting for the Retail Customer Care organization, shaping data architecture and analytics across the Global Business Operations team.

You will oversee ETL processes, ensure data quality, and partner with stakeholders to translate complex requirements into scalable solutions. Strong leadership and communication are essential.

Qualifications

  • 5+ years of experience leading data engineering or BI teams.
  • 8+ years in data engineering/BI with leadership responsibilities.
  • Strong SQL, data pipelines, and Tableau reporting experience.
  • Hands-on with Snowflake, Hadoop, Airflow; able to optimize large data queries.

Responsibilities

  • Set technical direction for retail contact centre data infrastructure and reporting.
  • Architect reusable data warehousing solutions for complex business needs.
  • Lead and mentor data engineers and Tableau developers; drive hiring and career growth.
  • Ensure data integrity and timely, scalable outputs.
  • Communicate progress and risks to senior leadership.

Skills

Team leadership
SQL
Tableau
Python
Snowflake
Airflow
Data pipelines

Education

Bachelor's degree in Computer Science or related
Master's degree (plus)

Tools

Snowflake
Hadoop
Apache Airflow
Tableau

Job description

Summary

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry‑leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Job Description

We are seeking a hands‑on BI Data Engineer Manager to lead a team of data engineers and Tableau developers responsible for building and managing data pipelines and Tableau solutions to deliver efficient analytical and reporting capabilities. This role will be part of the Global Business Operations team, with a particular focus on Retail Contact Center performance and decision support. It will have a direct role in shaping the data and reporting infrastructure of the Retail Customer Care organisation. The role requires understanding of data architecture, data engineering and Tableau skillsets to develop and own reporting for contact center performance metrics and analytics.

Key responsibilities and impact include overseeing data pipelines, developing dashboards, and ensuring data integrity and performance.

Lead and develop the team of data engineers and Tableau developers, with comprehensive understanding of data architecture, Extract, Transform & Load (ETL) processes and data visualisation best practices. Have full ownership of developing, enhancing and maintaining data pipelines, Tableau Dashboards and their schedules along with strong understanding of database concepts and SQL.

Responsibilities
  • Set technical direction and own delivery accountability for retail contact centre data infrastructure and reporting solutions.
  • Architect generic, reusable solutions that adhere to data warehousing best practices while addressing complex business requirements.
  • Guide the team in analyzing and optimizing existing data pipelines, data structures and Tableau solutions, providing enhancements and ongoing support as needed.
  • Uphold the highest standards of data integrity, ensuring reliable and accurate outputs.
  • Partner closely with stakeholders to understand and translate complex business requirements into scalable technical solutions meeting data warehousing and Tableau solution design standards.
  • Drive hiring, performance management, and career development to build and retain a high‑performing, technically excellent team.
  • Communicate team progress, risks, and roadmap priorities clearly to senior leadership and cross‑functional partners.
Minimum Qualifications
  • 4+ years of experience managing teams of data engineers and Tableau developers/analysts.
  • 8+ years of experience in data engineering or business intelligence roles with demonstrated ability to lead & develop a team of data engineers and Tableau developers — including hiring, performance management, and career development.
  • Demonstrated expertise building and maintaining complex data pipelines, strong technical foundation in SQL, scheduling jobs and Tableau reporting solutions.
  • Excellent knowledge of database concepts, data structures and extensive hands‑on experience working with Snowflake, Hadoop, Apache Airflow and experience optimising SQL queries on large data sets.
  • Effective presentation and communication skills, including ability to explain complex data and charts in a concise manner to large cross‑functional audiences.
  • Proven problem‑solving and cross‑functional project work experience.
Preferred Qualifications
  • 12+ years of professional experience in operations, analytics, management consulting, corporate strategy, or equivalent experience.
  • Bachelor’s degree in Computer Science, information technology, mathematics, statistics, economics or other quantitative area; Master’s degree is a plus.
  • Strong knowledge of Python.
  • Strong work ethic and attention to detail; ability to balance multiple projects and meet timelines.
  • Experience in Snowflake AI and Tableau AI is preferred.
  • Experience developing relationships with senior collaborators.
Commitment to Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace.

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