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Lead design and development of scalable cloud data platforms and ETL/ELT pipelines across AWS/Azure/GCP. Build and optimize data warehouses/lakehouses, implement MDM and governance, support analytics/BI, mentor junior engineers, and contribute to presales PoCs and solution designs.
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:
Permanentdentsu Gurugram, Haryana, IND Office
Gurugram, India
dentsu New Delhi, Delhi, IND Office
New Delhi, India
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
