Data Engineer
Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Location Bangalore
The Data Engineer will play a pivotal role in building scalable secure and costeffective
data solutions to support innovation and business growth. This position involves collaborating with
stakeholders such as Business Partners Product Owners and Data Science teams to design and
implement data products pipelines and processes that empower datadriven decisionmaking. The role
requires leveraging bestinclass engineering practices to deliver robust data products within a
DevSecOps framework.
- 3 years of progressive experience with fullstack data frameworks (ETL/ELT data analysis compute & storage pipelines orchestration).
- 2 years of handson experience in Cloud Architecture (Azure GCP AWS) and cloudbased databases (Synapse Databricks Snowflake Redshift).
- Proficiency in SQL/PySpark Python DBT and other ETL platforms (e.g. IICS SAP BODS SAP Datasphere).
- 2 years implementing data pipelines using data mesh/fabric concepts.
- 3 years of experience in Agile methodology (Scrum/Kanban) within a DevSecOps model.
- 2 years leading data engineering teams in Consumer/Healthcare Goods industries with an excellent understanding of business domains.
- Ability to build data pipelines addressing granularity data gaps harmonization and normalization of structured and unstructured data.
- Strong interpersonal and communication skills for crossfunctional collaboration.
- Qualifications: Undergraduate degree in Technology Computer Science applied data sciences orother related fields; advanced degree in related fields preferred.
- Demonstrated expertise in cloudbased data integration techniques (API stream file).
- Track record of contributing to highprofile projects with demanding deadlines.
- Ability to prioritise work items and estimate required effort effectively.
- Data Solution Design: Partner with architecture and platform teams to build innovative data product capabilities that align with business growth strategies.
- Development & Delivery: Develop highly reliable and secure data pipelines while ensuring scalability and performance.
- Stakeholder Collaboration: Work closely with Business Analytics leaders to align data products with business needs and articulate value through data and technology.
- Framework Implementation: Prioritize and implement data engineering methodologies to optimize platform and solution performance.
- Team Participation: Act as an integral part of the data engineering team within the DevSecOps framework.
- Thought Leadership: Serve as a thought leader in data technology and empower businesses through robust data solutions.
- Trusted Partnerships: Collaborate with Data Engineering Architecture and Science teams to scale and adopt data products effectively.
Employment Type
Full Time
