Lead design, development, and optimization of scalable cloud data platforms and pipelines across AWS/Azure/GCP. Build ETL/ELT processes, data models, and lakehouse/warehouse solutions; implement MDM and governance; support analytics/BI, pre-sales PoCs, mentor junior engineers, and ensure security and cost/performance tuning.
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
Location:
DGS India - Pune - Kharadi EON Free ZoneBrand:
MerkleTime Type:
Full timeContract Type:
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