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Technical Lead - (Azure/AWS/GCP)

Open 31d

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 Zone

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent