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Data Engineering Manager - BPR

5.00 to 0.00 Years   Hyderabad   22 Feb, 2022
Apple Inc
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryAutomobile / Auto Ancillaries
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    DescriptionDescriptionAs 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., Key QualificationsKey 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

Keyskills :
documentationsource system analysishigh pressurebig datadata solutionspreventive maintenanceisodata modelsdata modeling

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