Technical Architect

Ascendion Engineering

10 - 20 years

40 - 60 Lacs

bengaluru

Posted:1 hour ago| Platform:

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Skills Required

pyspark ai aws data bricks python sql

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Data Products Enhancement: Collaborate with cross-functional teams to agentify” current Data Products, enabling intelligent and adaptive data flows that support evolving business needs.
Agentification of ETL Pipelines: Transformation of existing ETL and data ingestion pipelines by embedding agentic architectures. This involves re-engineering traditional pipelines to harness autonomous agents for enhanced automation, scalability, and adaptability.
Build and Deploy Domain specific AI Co-pilots and Agents for Data Engineering with integrated experience with Databricks.
Build and Deploy Insights Agents: Design, implement, and operationalize insights agents capable of automatically analyzing datasets, uncovering trends, and proactively delivering actionable intelligence to stakeholders.

Preferred candidate profile

Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field.
10+ years of relevant experience, including at least 1 year building agentic workflows (Langchain, Langgraph, etc.).
Preferred - Hands-on experience with Databricks and cloud data platforms.
Proficiency in Python, PySpark, SQL, and modern data visualization tools.

Skills

Advanced skills in Python and PySpark programming.
Practical experience with Langchain, Langgraph, and building agentic workflows

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