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 qualified 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 t
📌 Technical Lead (Pune)
🏢 dentsu
📍 Pune