Data Engineer

Bangalore

Job Summary:

As a Lead Cloud Data & Analytics Engineer at ZEISS Digital Partners, you will be part of our Data & Analytics team and work in a supportive, team-oriented environment that enables the co-design and development of customer-centric digital products. Together with your colleagues, you work on leveraging and integrating customer data to develop and implement. For this purpose, you will lead efforts in designing, implementing, and maintaining front-end applications for our ZEISS business units, which are used worldwide and in all ZEISS divisions. You will work in an agile team - and take on end-to-end responsibility.

Responsibilities:

• Lead data analysis efforts to ensure accuracy in the output; identifying key data for projects across a variety of data stores and efficiently extracting and processing it; generating descriptive statistics and extracting insights.
• Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes.
• Analyze and validate data to ensure high data quality and reliable insights. Collaborate with Business Intelligence & Data engineering teams to improve data assets, quality, metrics and insights.
• Support the Product Owners on requirements engineering and business understanding to bring data as a product to life
• Ensure quality of documents communicating results to stakeholders and visualized data to drive decision making
• Join an active effort to fundamentally transform the data ecosystem of the ZEISS Group
• Support on the onboarding and upskilling initiatives for BI data engineers as well as develop / perform trainings.

Education & Work Experience

• Technical or University Degree in Business Informatics, Business Management, Information Technology or a similar field paired with a passion for data.
• 6 - 10 Years of Professional experience working in a Data Engineering, Data Science,.
• Strong experience in advanced data-modelling with Python/PySpark, Apache Spark, Synapse or Databricks
• Distinguished capabilities in ETL / ELT development and deployment of data flows
• Have deep knowledge of the application from snowflake or relational data architecture or paradigms.
• A deep understanding of modern software development practices such as CI/CD, GIT, DevOps
• A background in cloud technologies (Azure, AWS, Google Cloud, etc.) and how to utilize them with real use-cases.
• The ability to effectively explain the relevant concepts and technologies with a strong passion in analyzing business needs together with the various stakeholders.
• Understanding of modern BI Tools (e.g., Power BI, Tableau or Qlik); knowledge on datasphere would be an added advantage.
• Fluent English, German skills a plus

About Mphasis:

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.