Data Engineer
Pune, IND
Applications have closed
SWAROVSKI
Step into the magical world of Swarovski: charming jewelry, elegant watches and sparkling crystal creations commemorate the brand's tradition and craftsmanship.Data Engineer
At Swarovski, where innovation meets inspiration, our people desire to explore, experience and create. We are looking for a Data Engineer where you will get a chance to work in a rewarding role within a diverse team that is pushing boundaries. Be part of a truly iconic global brand, learn and grow with us. We’re bold and inventive, revealing astonishing things like no one else can. A world of wonder awaits you.
About the job
- Maintain and support data transformation pipelines from the Landing Zone to the Consumption Layer.
- Monitor the health and performance of data pipelines, infrastructure, and associated systems within GCP and SAP BW environments, ensuring seamless and efficient operations.
- Identify, diagnose, and resolve issues or anomalies in real-time, minimizing downtime and safeguarding data integrity.
- Manage and resolve support tickets related to data engineering operations, ensuring timely and effective responses to stakeholder needs.
- Collaborate with cross-functional teams to understand ongoing data requirements and provide necessary support for existing solutions, ensuring alignment with current business needs.
- Act as the primary contact for troubleshooting and resolving data-related issues raised by other departments.
- Regularly review the performance of existing data pipelines, identifying opportunities for improvement and implementing optimizations to enhance efficiency, performance, and scalability.
- Provide ongoing support to data scientists and analysts, ensuring consistent access to reliable data and the necessary tools for analysis and reporting.
- Support and maintain processes for integrating and transforming data within the Data Warehouse and across all Data Analytics platforms.About you
We are looking for a unique and amazing talent, who brings along the following:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 5 years of hands-on experience in data engineering, building and maintaining data pipelines and systems
- Strong proficiency in GCP (Google Cloud Platform), including services such as BigQuery, Dataflow, Dataform, Cloud Storage and Pub/Sub
- Solid programming skills in languages like Python, SQL
- Experience with data modeling, data warehousing, and ETL/ELT processes
- Familiarity with data governance, data privacy, and security practices
- Strong problem-solving and analytical skills, with the ability to handle complex data-related issues
- Excellent communication and collaboration skills to work effectively with cross-functional teams
- Self-motivated and able to work independently, as well as in a team-oriented environment
- Deep understanding of SAP modules
- Nice-to-have: Experience in SAP BW data engineering (SAP BW 3.x, 7.x, BW on HANA)
About Swarovski
Masters of Light Since 1895
Swarovski creates beautiful crystals-based products of impeccable quality and craftsmanship that bring joy and celebrate individuality.
Founded in 1895 in Austria, the company designs, manufactures and sells the world's finest crystals, gemstones, Swarovski Created Diamonds and zirconia, jewelry, and accessories, as well as objects and home accessories. Swarovski Crystal Business has a global reach with approximately 2,400 stores and 6,700 points of sales in over 150 countries and employs more than 18,000 people. Together with its sister companies Swarovski Optik (optical devices) and Tyrolit (abrasives), Swarovski Crystal Business forms the Swarovski Group. A responsible relationship with people and the planet is part of Swarovski’s heritage. Today this legacy is rooted in sustainability measures across the value chain, with an emphasis on circular innovation, championing diversity, inclusion and self-expression, and in the philanthropic work of the Swarovski Foundation, which supports charitable organizations bringing positive environmental and social impact.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Computer Science Data Analytics Dataflow Data governance Data pipelines Data warehouse Data Warehousing ELT Engineering ETL GCP Google Cloud Pipelines Privacy Python Security SQL
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