Data/ETL Engineer

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Ascendion

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
SQL Airflow Databricks Analytics AWS ETL

Job Description

Key

Responsibilities

Technical Design

Develop and maintain data

pipelines and ETL workflows using Databricks and Airflow.

Good understanding of

Databricks Delta Live tables, and Unity Catalog

Build frameworks and templates

for ETL/ELT, for telemetry pipelines.

Ensure cloud-native designs

aligned with AWS platform best practices.

Governance, Security &

Optimization

Ensure data quality,

integrity, and governance across data platforms.

Optimize SQL queries and data

models for performance and scalability.

Implement monitoring and

observability for data workflows.

Cross-Functional Collaboration

Work closely with architects

and leads to understand data requirements and build technical solutions.

Collaborate with analytics and

business teams to deliver actionable insights through BI dashboards and

reports

AI/LLM Enablement (Advantage)

Familiarity with Agentic AI

concepts for automation, data quality validation, and metadata enrichment

will be an added advantage.

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