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Job Title

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Data Engineer (Analyst)nExperience

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2.5 to 5 YearsnLocation:

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PAN India (Remote/In office as applicable)

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About the Role:nWe are looking for

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Data Engineer (Analyst)

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to build and maintain reliable data pipelines and analytics-ready datasets that power BI reporting, product insights, and business decision-making. You’ll work across multiple data sources, model clean reporting layers, and ensure data quality end-to-end.

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Key Responsibilities:nBuild and maintain scalable

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ETL/ELT pipelines

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(batch and incremental) using

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SQL + PythonnIntegrate data from databases, APIs, SaaS tools, event data, and flat filesnDesign analytics-ready data models

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(star schema/marts) for self-serve reportingnCreate and optimize transformations in a cloud warehouse/lakehouse (e.g.,

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Snowflake, BigQuery, Redshift, Synapse, Databricks )nPartner with stakeholders to define

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KPIs, metric logic, and reporting requirementsnMaintain dashboards and reporting outputs in tools like

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Power BI, Tableau, Looker, or SigmanImplement data quality checks , monitoring, alerts,



and documentation to keep datasets trustednTune performance and cost (incremental loads, partitioning, query optimization, file formats)

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Required Skills:nStrong

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SQL skills (CTEs, window functions, joins, aggregations, optimization)nStrong

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Python skills for transformations and automationnHands-on experience with at least one cloud platform: AWS / Azure / GCPnExperience with a up-to-date data warehouse/lakehouse

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(Snowflake/BigQuery/Redshift/Synapse/Databricks)nSolid understanding of

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ETL/ELT patterns (incremental loads, retries, idempotency, basic CDC)nComfort with data modeling for analytics and BI reportingnExperience building stakeholder-friendly reporting in a

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BI tool

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(Power BI/Tableau/Looker/Sigma)

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Nice to have:nOrchestration tools:

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Airflow, dbt, Dagster, Prefect, ADF, Glue , etc.nStreaming/event data:

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Kafka, Kinesis, Pub/SubnMonitoring/logging:

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CloudWatch, Azure Monitor, GCP Monitoring, DatadognCI/CD + Git-based workflows for data pipelines

Apply on Kit Job: kitjob.in/job/46ydpe

📌 Data Engineer Analyst New Delhi
🏢 Canopus Infosystems - A CMMI Level 3
📍 New Delhi