Job DescriptionAdditional Details
nExp: 6 to 8 years
nNotice Period: Immediate to 30 Days
nLocation: Mumbai, Pune, Bangalore, Gurgaon
nJob Description
nTechnical Lead with strong hands‐on experience in cloud-based data platforms (AWS, Azure, GCP) to design, develop, and optimize scalable data solutions.
nThis role focuses on building robust data pipelines, implementing up-to-date data platforms, contributing to solution designs, and supporting pre‐sales and client discussions. The ideal candidate is a seasoned developer who can work independently on complex data engineering problems while collaborating closely with architects, stakeholders, and junior engineers.
nMust have skills
n7–10 years of hands‐on experience in data engineering and development roles.
nStrong 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.
nSolid expertise in data modeling, ETL/ELT pipeline development, data warehousing, and lakehouse architectures.




nStrong Python development skills for data engineering, automation, orchestration, and solution prototyping.
nExtensive experience working with SaaS-based data platforms (e.g., Databricks, Snowflake, managed analytics services).
nExperience implementing and integrating Master Data Management (MDM) solutions such as Informatica, Reltio, Profisee, or equivalent tools.
nPractical knowledge of data governance, security, access control, and compliance requirements in cloud environments.
nBasic exposure to Agentic AI concepts, such as AI-driven automation, data orchestration, or intelligent workflow augmentation.
nAbility to design, build, and optimize scalable and high-performance data pipelines.
nExperience in query optimization, performance tuning, and cost optimization across cloud data platforms.
nHands-on experience supporting analytics, BI, and downstream consumption layers.
nStrong verbal and written communication skills to

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