- Contribute to proof of concepts and deliver highly secure, scalable, costeffective applications that align with the team's strategy and vision.
- Focus on execution, and delivery of highly reliable, highquality integrations aimed at maximizing business value through data products.
- Be an integral part of the data engineering teams, building and improving nextgeneration data, and analytics capabilities within the devsecops framework.
- Work closely with the business analytics leaders to understand the needs of the business clearly articulating the story of value created through data and technology.
- Participate in prioritization and implementation of the most appropriate combination of data engineering methodologies, and frameworks to ensure optimal scalability, flexibility, and performance of platforms, products, and solutions.
- Be an expert and a thought leader in how data and technology come together to empower the business.
- Forge trusted partnerships and be an integral part of data engineering, data architecture, and platforms, and data science teams to adopt, scale, and build data products.
- Demonstrated strength in examining issues, driving resolution, and influencing effectively across the organization.
- Ability to challenge the status quo in technology, and architecture.
- Superb interpersonal, and communication skills (oral and written), including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists.
- 2+ years in data engineering teams in consumer/healthcare goods companies and excellent understanding of business domains within the industry.
- 3+ years of progressive experience with developing apis using python / kafka, in addition to designing and implementing scalable and efficient microservice architectures.
- Minimum of 2 years of handson experience developing data integrations using api and streams in cloud architecture (azure, gcp, aws), and cloudbased databases (synapse, databricks, snowflake, redshift).
- 2+ years implementing, integrating, and documenting a variety of software platforms through industrystandard api frameworks.
- Minimum of 3 years of planning and execution using agile methodology (scrum/kanban) within the devsecops model.
- Ability to build data pipelines to address data challenges: different granularity, data gaps, sophisticated matching logic, multilanguage, structured, and unstructured; harmonization, and normalization of data.
- Proven track record being part of multiple highprofile projects with demanding deadlines, changing requirements, and working with defined resources.
- Ability to estimate required effort and prioritize work items.
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Senior Engineer - Bangalore, India - Talent500
Description
Role :
Senior Engineer
Responsibilities :
Design and develop api integrations in partnership with architecture and platform teams to build next-generation product capabilities that drive business growth.
Requirements :
Undergraduate degree in technology, computer science, applied data sciences, or other related fields; advanced degree in related fields preferred.