Data Engineering Manager – BPR Job Vacancy in Apple Hyderabad, Telangana – Updated today

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Company Name : Apple
Location : Hyderabad, Telangana
Position :

Job Description : Summary
Posted: Feb 4, 2022
Weekly Hours: 40
Role Number:200258594
Imagine what you could do here. At Apple, new 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. We’re looking for a Manager for Data Engineering who is passionate and motivated to make an impact in creating a robust and scalable data platform. This is a role in the Operations Business Analytics team, which provides a unique opportunity to create innovations and transformational change leveraging cloud and big data technologies. As an technical evangelist you will be able to incubate and experiment newer technologies and platforms to demonstrate value of the data and enable data consumptions at scale with agility. This position involves working on a small team to develop large scale data pipelines and analytical solutions using Big Data technologies. Successful candidates will have strong engineering skills and communication, as well as a belief that data driven processes lead to great products. You will need to have a passion for quality and an ability to understand complex systems.
Key Qualifications
Overall 15+ years’ experience including at-least 5 Years of Management experience leading a team of data engineers
Hands on manager who likes fixing complex performance and scale problems.
Should be adept at prioritizing multiple issues in a high pressure environment
Ability to conduct performance analysis and fix large scale distributed systems
Develop architectural models that will operate at large scale and high performance, and advise on how to run these architectural models on On Prem or Private or Hybrid Cloud infrastructure.
a) Experience in high level programming languages such as Java, Scala, or Python.
b) Proficiency with DataWarehouse and database platforms like Teradata, Oracle, Snowflake, BigQuery and SQL is required.
c) Proficiency in data processing using technologies like Pl/SQL, BTEQ, Spark Streaming, Spark SQL, or Map/Reduce.
d) Expertise in Hadoop related technologies such as HDFS, Azkaban, Oozie, Impala, Hive, and Pig.
e) Expertise in developing big data pipelines using technologies like Kafka, Flume, or Storm.
f) Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with any cloud Infrastructure (AWS, Azure, Google Cloud)
g) Experience with large scale data warehousing, mining or analytic systems.
h) Aptitude to independently learn new technologies.
i) Have solid grasp of advanced data warehouse concepts (Factless Fact tables, Temporal BI-Temporal models, etc.)
j) Ability to work with analysts to gather requirements and translate them into data engineering tasks.
k) Hands on experience with track record of analysis, design, Prototype, develop, deploy Data and BI solutions in complex corporate IT platforms
l) Experience with both Waterfall and Agile development methodologies
Description
As a Data Engineering Manager, you will lead the teams to design, develop and implement modern cloud based data warehouse/ data lakes and influence overall data platform strategy for the organization. Key Responsibilities • Incubate and iterate quickly newer capabilities through POCs/Pilots on latest cutting edge technologies. • Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time. • Translate and envision data needs to architectural data solutions and implement • Manage and govern Operations Data Platform including Core Functional Semantic, Common Data Model. • Hands on Data integration between ERP(SAP), Data Mart and EDW. Development, deployment, management and governance of such platforms. • Iterate quickly through capturing data needs from the partners, analyzing source data and consumption needs, creating data models and working in close collaboration with engineering team to deliver data & BI solutions. • Hands on data modeling (conceptual, logical models), and development of complex process modeling from Transaction sources to analytical solutions. • Capture and manage business data needs from various stakeholders, collaborate and influence to deliver solutions with positive results. Collect/Define business requirements, high level conception/logical design, define work packages for GBI Development teams.
Education & Experience
Bachelor’s degree is required, preferably in Computer Science, CIS/MIS, or related discipline with an information technology focus. MBA / MS preferred; focus on Operations management/supply chain management is a plus.
Additional Requirements
Implementation experience of Cloud based services in a variety of business such as large enterprises and start-ups.
Deep understanding of Data transformations , underlying technologies and understanding of related concepts (such as data cataloging and curation, etc.)
Demonstrated industry leadership in the fields of Data Warehousing, Data Science and Data processing.

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