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Data Engineering Manager

5.00 to 7.00 Years   Hyderabad   10 Jun, 2021
Apple Inc
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryAutomobile / Auto Ancillaries
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

DescriptionDescriptionAs Data Engineering Manager you would lead a Data Warehouse/Business Intelligence development team in building Analytics solutions for Apple - Lead the design for database and data pipeline/ETL using emerging technologies and tools - Lead the reporting and dashboarding solutions using innovative packaged and custom-built tools - Drive the team to develop operationally efficient analytic solutions Manage resources/budget and partner with global functional and business teams. Manage multiple teams and projects - Define standards, methodologies for Data Warehousing environment - Design and build highly scalable data pipelines using new generation tools and technologies like AWS, Snowflake, Spark, Kafka to induct data from various systems - Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency - Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams - Should have strong ability to manage stakeholder communication & risk management - Lead and mentor people and plan their career growth and focus on creating a cohesive team environment - Thrives in a dynamic environment, maintaining composure and a positive attitude., Key QualificationsKey Qualifications

  • Experience in leading, hiring, developing and building data engineering team and providing them technical direction.
  • Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
  • Experience working with cloud technologies and big data stack be it Amazon AWS, Snowflake, Microsoft Azure or Google GCP
  • Database development experience with Relational or MPP/distributed systems such as Oracle/ Teradata/ Vertica/ Hadoop/ SingleStore
  • Programming experience in building high quality applications, data pipelines and analytics solutions.
  • Should be proficient in writing Advanced SQLs, expertise in performance tuning of SQLs.
  • Experience in developing Big Data applications using java, Spark, Hive, Oozie, Kafka, and Map Reduce is a plus
  • Experience with data science and machine learning tools and technologies is desired
  • Demonstrate strong understanding of development processes and agile methodologies
  • Strong analytical and communication skills, highly motivated and ability to learn quickly

Keyskills :
safetyemerging technologiesperformance tuningdata warehousingdata engineeringcommissioningisorisk managementmachine learningbusiness requirementsmicrosoft azurepreventive maintenance

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