Job Opportunities API

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: Vollzeit Contract Type: Dauerhaft