Technical Lead -

**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 timing**12 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