Job Description:

Must have skills:

• Core Technical Skills 7–10 years of hands‑on experience in data engineering and development roles.
• Strong hands-on experience with AWS and/or Azure and/or GCP data services such as BigQuery, Synapse, Redshift, Databricks, etc. Any 2 cloud experience is mandatory.
• Solid expertise in data modeling, ETL/ELT pipeline development, data warehousing, and lakehouse architectures.
• Strong Python development skills for data engineering, automation, orchestration, and solution prototyping.
• Extensive experience working with SaaS-based data platforms (e.g., Databricks, Snowflake, managed analytics services).
• Experience implementing and integrating Master Data Management (MDM) solutions such as Informatica, Reltio, Profisee, or equivalent tools.
• Practical knowledge of data governance, security, access control, and compliance requirements in cloud environments.
• Basic exposure to Agentic AI concepts, such as AI-driven automation, data orchestration, or intelligent workflow augmentation.
• Ability to design, build, and optimize scalable and high-performance data pipelines.
• Experience in query optimization, performance tuning, and cost optimization across cloud data platforms.
• Hands-on experience supporting analytics, BI, and downstream consumption layers.
• Strong verbal and written communication skills to effectively collaborate with architects, QA, DevOps, and business stakeholders.
• Ability to explain complex technical concepts clearly to non-technical audiences

Good to have skills:

• Familiarity with AI/ML integration into data platforms and analytics workflows.
• Prior experience working in a consulting or professional services environment.

Education Qualification:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

Certification If Any

• AWS Data Analytics / Solutions Architect
• Azure Data Engineer Associate
• GCP Professional Data Engineer
• Any two of the above
• Databricks, Snowflake, or other cloud data platform certifications are a plus.

Shift timing12 PM to 9 PM and / or  2 PM to 11 PM - IST time zone 

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