Functional Data Engineer

3 days ago

Pune, Maharashtra, India AkzoNobel Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role & responsibilities

  • Are responsible for the data pipelines supporting the landscape and stack for experimentation and exploration.
  • Develop data pipelines between sources and targets.
  • Support the business initiatives in their data driven experiments and explorations.
  • Set up a monitor model to monitor and maintain data pipelines and data transfer processes.
  • Assist and execute in designing and developing effective data strategies.
  • Oversee data related projects to extract, manage, and analyze data from multiple applications, ensuring that deadlines are met.
  • Track key performance metrics on the managed data landscape across departments.
  • Identify business opportunities and ensure internal customer satisfaction.
  • Generate reports of findings and present these to management.
  • Keep abreast of industry best practices and connect Insights from data to Solutions.
  • Identify trends and opportunities for growth through analysis and usage of complex data sets.
  • Participate in the development of a central data platform to leverage different types and sources of data.

Preferred candidate profile

Required skills

  • Strong ETL and data extraction skills.
  • Strong SQL and/or MySQL skills, ability to perform effective querying involving multiple tables and subqueries.
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Results-driven and ability to handle multiple projects.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data.
  • Strong problem solving, quantitative and analytical abilities.
  • Understands sensitivity and security questions around data.
  • Able to act in a complex multinational environment.
  • Good communication and presentation skills.
  • Strong interpersonal and time-management skill

Preferred skills

  • Skills in Data Factory, Azure, Databricks, R, Python, different types of ETL tools
  • Skills with data visualization tools like Tibco Spotfire, Microsoft PowerBI

Relevant experience

  • Experience with Cloud concepts
  • Experience with Microsoft Azure Cloud solutions
  • Experience with data preparation tools: e.g. Alteryx, Azure Data Factory, Databricks
  • Experience in a Data Engineer position or similar role is required.
  • Work in an agile environment.

Educational qualifications

  • Bachelor's / Master Degree in Analytics, Computer Science, or related field

Fit Factors

  • Ability to work in the AkzoNobel corporate environment which comprises both traditional waterfall and agile way of workings. Vision is to move towards exclusively Agile

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