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Premium Employer

Apple

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4.3

based on 540 Reviews

Video summary

208 Apple Jobs

People Data & Analytics Engineer

Apple India Pvt Ltd

4.3

based on 540 Reviews

2-6 years

Bangalore / Bengaluru

1 vacancy

People Data & Analytics Engineer

Apple

posted 6d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Data Analytics Python SQL Analytical Chemistry Scheduling

+ 3 more

Job Description

As a member on the Data Analytics Engineering team, you will contribute to designing, developing and scaling Apple s people analytics data models on cloud that provide efficient analytical and reporting capabilities across Apple s global and regional stakeholders. You will develop highly scalable data pipelines to load data from various source systems, use python and dbt to ingest and transform your data and manage orchestration and scheduling of your workflows. Your data pipelines should have data validation and alerting frameworks built into them. You will engage and collaborate with other developers on the team, understand data and be responsible to translate complex business requirements into scalable and performant analytical data models that support stakeholder requirements. In this role, you will also build generic and reusable frameworks for the broader team to leverage. You will be required to understand existing solutions, fine-tune them for enhancements and optimizations and support them as needed. Data quality and scalability with minimal DevOps is our goal and we expect your technical design and development processes to exemplify these aspects. The solutions you will build will directly support analytics for recruiting, workforce management, candidate and employee surveys, compensation, benefits, employee services, survey and other areas. Data stitching across these domain areas will be common to produce meaningful analytical data sets. To be successful in this role, you will be encouraged to grasp key business and data design concepts across multiple domain areas so you can leverage them as needed by a solution.

Minimum Qualifications

6+ years of hand-on data modeling and data engineering and analytics experience.
Strong background on dimensional modeling and data warehousing concepts.
Experience in design and development of custom ELT pipelines using SQL, dbt, Python, GitHub
Proficiency in advanced SQL, performance tuning and optimization methodologies.
Experience with Snowflake or cloud architecture such as AWS, Google Big Query
Experience working with APIs or unstructured data
Ability to translate business processes and data into analytics solutions.
Ability to work independently, research newer technology areas and innovate to produce the best analytics result in a given situation.
Ability to pivot between widely divergent tasks and subject matter on short notice, and rapidly adapt to varied audiences.

Key Qualifications

Preferred Qualifications

Certifications in Data Science, Reporting & Analytics tools
Knowledge of more 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 is plus
Experience building data service layer for custom applications will be a plus
Experience with Tableau a plus
BS or MS degree in engineering / computer science or equivalent practical experience