AkzoNobel | is Hiring | Data engineer / Sr. Data Engineer | BigDataKB.com | 2022-04-05

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Job Location: Pune

Data Engineer reports into the Analytics Manager of GBS BI (Business insights team) and is part of a broader Global Business Services (GBS) organization which aims to standardize and improve the functional support processes into one global operating model which delivers leading performance by working in a consistent way, using best practices and building expertise.

We align to the GBS strategic vision enabling an improved customer experience, driving a culture of continuous improvement and improving our cost to serve.

This role will work with CoE IBP (Center of Excellence for Integrated Business Planning) It is a process of structured collaboration which aligns all layers and functions around one set of data, one plan, and joint decisions. In the CoE IBP, we standardize and optimize the planning cycle and E2E supply chain, as an end goal to optimize service level, cost, and inventory. This enables the company to achieve the best possible performance for our customers, employees, and shareholders.

BigDataKB.com Jyotish
BigDataKB.com Jyotish - Career & Life Prediction

Roles and Responsibilities

  • Collect business requirements from the various stakeholders (Data Scientists, Data Visualizers, Product Managers, IM)
  • Translate business requirements into technical requirements, systems, and solutions
  • Design, develop and document the technical solution: creation of data pipelines for data transfer between different storage services
  • Do data transformation, cleaning , modeling data
  • Maintenance of the solution: Actively monitor and manage the system/ solutions performance in close contact with the solution architect
  • DevOps/ Agile WoW

Desired Candidate Profile

  • BSc in Computer Science, Statistics, Mathematics, Physics, or any quantitative field
  • Experience in designing and building advanced ETL pipelines in a big data environment
  • Big data frameworks: Apache Hadoop, Apache Spark, RapidMiner, Cloudera
  • Programming languages: Scala, Python, PySpark, SQL
  • Good understanding of SAP systems,
  • Platform: Azure Data Factory, Databricks, Alteryx
  • Experience in supply chain
  • Familiar with Agile
  • Experience with Azure Data components such as Azure SQL Database, Azure SQL Warehouse, SYNAPSE Analytics
  • Experience in BI stacks- SSIS, SSAS.
  • Experience in RDBMS and data modelling
  • Knowledge of data warehousing principles, architecture and implementation.
  • Sound communication skills
  • Team player
  • Curious mind

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