Apple Inc Hyderabad Data Engineer Vacancy

In its most recent job posting, Apple has unveiled opportunities for Data Engineer positions, with the designated work location being Hyderabad.

The chosen candidate will be appointed to a permanent, full-time position.

Apple Inc. is an American multinational technology company renowned for designing, developing, and marketing consumer electronics, computer software, and online services.

As per the Apple Hyderabad Data Engineer 2024 job openings, candidates possessing the necessary skills in Python, Shell, Perl, and SQL are encouraged to apply.

Interested and qualified candidates are required to apply through the online mode.

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Apple Inc Hyderabad Data Engineer Vacancy

Job Location: Hyderabad

Apply Mode: Online

Job Designation: Data Engineer

Job Code: 200531462

Experience Level: 4+ years

Education Qualification: The educational requirement for the Apple Hyderabad Data Engineer 2024 jobs is either a Bachelor’s Degree or a Master’s Degree.


  1. Gather and communicate data capture requirements for both new and existing customer-facing platforms.
  2. Conduct end-to-end analysis across all data points, involving data extraction from extensive and intricate datasets.
  3. Develop and automate large-scale, high-performance, and scalable data pipelines.
  4. Possess experience in constructing and maintaining custom frameworks to support engineering and analytics requirements.
  5. Drive the extraction of insights from raw, unstructured data to enhance existing features and explore potential future directions.
  6. Establish new metrics for performance measurement and advocate for changes to existing metrics when necessary.
  7. Develop and maintain complex Tableau dashboards, aggregating data from multiple sources. Support Tableau developers by crafting intricate SQL queries and providing easily queryable datasets through Tableau extracts and data sources.
  8. Collaborate with technical teams, including Database Administrators (DBA), Site Reliability Engineers (SREs), and Data Engineering teams, to ensure the proper functioning of all data pipelines and dashboards/reports.

Key Qualifications:

  • Over 4 years of industry experience in a Data Engineering role, with expertise in designing and implementing scalable data pipelines, data services, and data products.
  • Proficiency in presenting and articulating key performance metrics to collaborators and executives.
  • Ability to create and comprehend advanced structural query language (SQL) scripts.
  • Familiarity with dimensional modeling and business intelligence concepts.
  • Adaptability to modify data results for frequent and unexpected operational changes, ensuring enhanced customer experience across multiple business units.
  • In-depth experience in data analysis, report creation, data profiling, anomaly detection, and identifying trends with the ability to make recommendations.
  • Expertise in producing impactful visualizations and dashboards that balance art and science, prioritizing usability and interpretation.
  • Extensive experience using visualization tools to deliver actionable insights, with proficiency in Tableau/D3, and certification would be a plus.
  • Programming skills in building high-quality software, with a preference for proficiency in Python, Shell, and Perl.
  • Proficiency in SQL, especially in MPP/No SQL databases like Vertica, Snowflake, and Redshift, in a large-scale environment.
  • Strong ability to learn new technologies related to Data Engineering and Advanced Analytics.
  • Exceptional attention to detail and excellent analytical capabilities.
  • Demonstrated ability to work independently and within a fast-paced, team-oriented environment.
  • Knowledge of engineering machine learning and feature engineering systems is a plus.

How to apply:

Interested and qualified job applicants are required to apply through the online mode by first registering with the Apple career portal and then logging in to submit their application.

Apply online:

Apple Inc Hyderabad Data Engineer Vacancy

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