Cloud Data Engineer

Projects Overview

Date Posted: 15-Jul-2026
Job Type: Full Time
Job Exp: 1 Year
Salary: ₹15000 / MONTH
Location: Hyderabad
Education Req: Bachelor's (Preferred)

Job description

Location

Hyderabad, Telangana

Full job description

The people here at Apple don’t just build 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. Join Apple, and help us leave the world better than we found it. Imagine what you could do here. Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on groundbreaking big data technologies? Then we are looking for you. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Global Business Intelligence team is looking for passionate, meticulous, technical savvy, energetic engineer who likes to think creatively. Apple's Enterprise Data warehouse team deals with Petabytes of data catering to a wide variety of real- time, near real-time and batch analytical solutions. These solutions are integral part of business functions like Retail, Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions. We use a diverse technology stack such as Snowflake, Spark, HANA, SingleStore, Kafka, Iceberg, Cassandra and beyond. Designing, developing and scaling these big data solutions are a core part of our daily job.

Description

- As a Cloud Data Engineer you will design, develop and implement modern cloud based data warehouse/ data lakes and influence overall data strategy for the organization. - Translate complex business requirements into scalable technical solutions meeting data warehousing/analytics design standards - Strong understanding of analytics needs and proactive-ness to build solutions to improve the efficiency along with that help implement leading data practices & standards. - Collaborate with multiple multi-functional teams and work on solutions which has larger impact on Apple business - Ability to communicate effectively, both written and verbal, with technical and non- technical multi-functional teams - You will get along with many other internal/external teams to deliver elite products in an exciting rapidly changing environment - Ability to manage partner communication & project risks. - Thrives in a multifaceted environment, maintaining composure and a positive attitude.

Minimum Qualifications

1 - years of Hands on Experience in developing and building data pipelines on Cloud & Hybrid infrastructure for analytical needs
Experience working with cloud based data warehouse solutions - Snowflake, SingleStore etc., along with expertise in SQL and Advance SQL.
Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
Bachelor’s Degree or equivalent in data engineering, computer science or similar field.

Preferred Qualifications

High expertise in modern cloud warehouse, data lakes and implementation experience on any of the cloud platforms like AWS/GCP/Azure - preferably AWS.
Experience working with data at scale (peta bytes) with big data tech stack and advanced programming languages e:g Python, Scala.
Database development experience with Relational or MPP/distributed systems such as Snowflake, SingleStore
Excellent problem solving, critical thinking with ability to evaluate and apply new technologies in a short time
Strong written and oral communication skills
Experience in working with global collaborators with ability to influence decision making.
Dedicated, highly motivated with learnability skills.
Exposure working in Data Science projects will be a plus