I. Job Description
Participate in RFI/RFP processes, contribute to proposals, and help define SOWs.
Apply industry expertise (Telco, Banking, FSI) to deliver business-relevant solutions.
Lead small teams or workstreams (3–5 members) within larger data platform projects.
Collaborate with stakeholders to handle escalations, risk assessments, and resolve project issues.
Maintain a Cloud Data Engineer or Architect Associate-level certification.
Lead Data Engineering projects in cloud environments.
II. Job Requirement
Must-Have Skills:
7–9 years of experience in data engineering with cloud platforms.
Proven ability to lead workstreams or small teams in cloud-based data projects.
Experience in presales activities (RFI/RFP responses, proposal writing, SOW creation).
Strong stakeholder alignment and communication skills to manage risks and escalations.
Industry exposure in at least one vertical such as Telco, Banking, or FSI.
Certified Cloud Data Engineer / Architect Associate (AWS, GCP, or Azure).
Nice-to-Have Skills:
Hands-on experience with Databricks or Snowflake.
Familiarity with AWS Glue, Kafka, EMR, PySpark, and DBT.
Strong knowledge of modern data architectures (lakehouse, streaming, batch).
Ability to contribute to cloud modernization and migration projects.
III. Benefit
Upto $52,000 annual salary
Market-leading salary, benefits, and incentives.
Impact-First Culture: Your work directly contributes to real-world AI solutions and business outcomes.
Professional Growth: Continuous learning opportunities, mentorship from industry leaders, and a clear path for career development.
Dynamic Team Environment: Collaborate with a high-performing team that values curiosity, integrity, and ownership.
Global Exposure: Opportunities for international travel.