Senior Platform Engineer - ETL & Data Analytics (7-10 yrs)

Job Summary : Sr.Platform Engineer is an opportunity to lead and shape the next generation of data platforms, fostering innovation and unlocking growth.

The role involves close collaboration with multiple stakeholders, including Product Owners, Data Strategy, Data Science, and Machine Learning teams, to develop innovative data products.

The role requires ensuring platform stability, responsiveness, and alignment with business needs using best practices in cloud computing.

Must-Have Skills :

- 7+ years of experience developing and maintaining data platforms for : ETL/ELT, data analysis, compute & storage, data pipelines, orchestration, metadata management, and observability.

- 5+ years of experience with Cloud Platforms (Azure, GCP, AWS) and cloud-based databases (Synapse, Databricks, Snowflake, Redshift).

- Platforms enabling data streaming (Kafka), microservices, and data integration.

- 3+ years of implementing data platforms with data mesh/fabric concepts.

- 5+ years of Expertise in Agile methodologies (Scrum/Kanban) within DevSecOps models.

- 5+ years of data platform experience in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry.

- Strong interpersonal and communication skills.

- Proven leadership in data platforms and architecture.

Qualifications : Undergraduate degree in Technology, Computer Science, Applied Data Sciences, or related fields (advanced degree preferred).

Good-to-Have Skills :

- Advanced knowledge of business domains in the industry.

- Ability to define platforms tech stack to address data challenges: different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured; harmonization & normalization of data.

- Ability to articulate technical concepts to business leaders and vice versa.

Responsibilities :

- Provide leadership for data platforms, collaborating with architecture teams to build next-gen capabilities.

- Conduct proofs of concept and deliver secure, scalable, cost-effective platforms.

- Stay updated with emerging technologies and mentor platform engineers.

- Ensure high-quality, reliable data platforms aimed at maximizing business value.

- Lead data platform operations within a DevSecOps framework using modern technology stacks.

- Partner with Business Analytics leaders to align platform development with business needs.

- Drive prioritization and selection of tools and technologies for optimal scalability, flexibility, and performance.

- Forge partnerships with Data Engineering, Architecture, and Data Science teams to scale data products.

Candidates who can join within 30 days may only apply