Manager - Data Engineering

Job Title

Job Description

#gbs

#LI-PHILIN

Job Title:
Manager - Data Engineering

Your role:

• Translate complex business requirements into scalable technical solutions meeting data warehousing design standards.
• Leads development and usage of data science models (such as forecasting, regression and simulation) to support better decisions and improve performance of GBS Hubs and Functions
• Design and build data models to provide efficient reporting and analytics capability.
• Design solutions and build highly scalable data pipelines using tools and technologies like Python, SQL, Azure Databricks to induct data from various systems.
• Excellent in data acquisition, preprocessing, modeling & deployment
• Translate complex business requirements into scalable technical solutions and build pipelines.
• Review, enhance, design, and develop ETL processes.
• Educate staff members through training and individual support.
• Offer support by responding to system problems in a timely manner.

You're the right fit if:

• Strong understanding of analytics needs and proactiveness to build generic solutions to improve efficiency.
• Proficiency in designing and building dimensional data models to improve accessibility, efficiency, and quality of data.

• Tech Stack:
  • Python: pandas, NumPy or/and Py-spark
  • SQL: SQL Server
  • Azure Databricks
  • Process Mining: Ui Path, Celonis
• Building data pipelines (ETL)
  • Extracting data from different sources like SQL Database, Data Lakes, 3rd party services through API's.
  • Writing efficient and readable data transformations with pandas and/or .
  • Building rigorous testing and validation steps on a dataset.
  • Exporting transformed data as a flat file, SQL table or delta table(parquet)
• In-depth understanding of all applicable tools and advanced skills in Analytics including Python, Power BI, Power Automate, Qlik Sense, Process Mining, SAP systems.
• Being able to build automation scripts using Python.
• Proficient enough in Python and SQL to be able to understand and debug existing Code.
• Writing readable code, adhering to "Clean Code" Principles
• Understanding of distributed data systems and experience with advanced analytics and machine learning is highly desirable.

Soft Skills Required

• Good communication and presentation skills
• Highly driven, energetic, flexible, resourceful & ability to multitask
• Clarity of thoughts and vision
• Ability to ideate and bring solutions to the table
• Adherence to timelines, without sacrificing quality of output.

Work Experience

• 6-9 years of increasingly responsible experience in translating business requirement, into technical requirement and building an ETL pipeline and data models (using SQL, python, Azure, and other tools)
• Experience in Visualization tools such as Power BI, Qlik Sense (Good to have)
• Should have worked in a dynamic and fast changing environment.
• Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quick.
• Knowledge of Machine Learning and Azure architect certification preferred.

Academics

• B. Tech/BE from a good institute in a quantitative discipline
• Proficiency in Python, Power BI, Qlik Sense, Azure Databricks, Process Mining and SQL is a must.
• Strong exposure to Databases and data structures of cloud-based technologies.

About Philips
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If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion .