Job Description:
Must have skills:
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Core Technical Skills 7–10 years of hands‑on experience in data engineering and development roles.
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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.
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Solid expertise in data modeling, ETL/ELT pipeline development, data warehousing, and lakehouse architectures.
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Strong Python development skills for data engineering, automation, orchestration, and solution prototyping.
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Extensive experience working with SaaS-based data platforms (e.g., Databricks, Snowflake, managed analytics services).
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Experience implementing and integrating Master Data Management (MDM) solutions such as Informatica, Reltio, Profisee, or equivalent tools.
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Practical knowledge of data governance, security, access control, and compliance requirements in cloud environments.
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Basic exposure to Agentic AI concepts, such as AI-driven automation, data orchestration, or intelligent workflow augmentation.
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Ability to design, build, and optimize scalable and high-performance data pipelines.
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Experience in query optimization, performance tuning, and cost optimization across cloud data platforms.
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Hands-on experience supporting analytics, BI, and downstream consumption layers.
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Strong verbal and written communication skills to effectively collaborate with architects, QA, DevOps, and business stakeholders.
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Ability to explain complex technical concepts clearly to non-technical audiences
Good to have skills:
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Familiarity with AI/ML integration into data platforms and analytics workflows.
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Prior experience working in a consulting or professional services environment.
Education Qualification:
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Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
Certification If Any
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AWS Data Analytics / Solutions Architect
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Azure Data Engineer Associate
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GCP Professional Data Engineer
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Any two of the above
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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 Zone
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent