**Read jd

Experience 4-8 years only.

Budget up to 18 Lpa.

Mandatory (Experience): Must have at least 4+ years of hands-on data engineering experience with the recent 2+ years in AWS cloud data warehouses and AWS cloud services

Solid Senior Data Engineer Profile with AWS data-warehousing and pipeline expertise

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Mandatory (Experience): Must have at least 4+ years of hands-on data engineering experience with the recent 2+ years in AWS cloud data warehouses and AWS cloud services

3

Mandatory (Tech skill 1): Must have advanced SQL knowledge and hands-on experience with relational databases and query authoring, plus a cloud data warehouse like AWS Redshift.

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Mandatory (Tech skill 2): Must have expert-level experience creating scalable data warehouses — Fact tables, Dimensional tables, and ingesting datasets into cloud-based tools.

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Mandatory (Tech skill 3): Must have strong multi-dimensional data modelling experience — Star Schema, Snowflake Schema, normalisation/de-normalisation, joins, OLAP cube modelling, and schema evolution while maintaining data integrity.

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Mandatory (Tech skill 4): Must have hands-on experience creating and maintaining optimal ETL/ELT data pipeline architecture into structured data.

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Mandatory (Tech skill 5):



Must have experience setting up and maintaining data ingestion, streaming, scheduling, and job-monitoring automation using AWS services — Lambda, Glue, S3, Redshift, and Code Pipeline (CI/CD)

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Mandatory (Tech skill 6): Must have experience building and optimizing big-data pipelines, architectures, and datasets, including data compression into PARQUET and SQL performance tuning.

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Mandatory (Tech skill 7): Must have experience with GitHub for version control, code collaboration, code reviews, branching strategies, and continuous integration.

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Mandatory (Tech skill 8): Must have strong analytical skills across structured and unstructured datasets, with experience performing root-cause analysis to answer business questions and identify improvements.

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Mandatory (Tech skill 9): Must have experience collaborating with cross-functional teams and Global IT to gather requirements and align work with business objectives, and ensuring data privacy/compliance (e.g. GDPR).

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Mandatory (Tech skill 10): Working knowledge of message queuing, stream processing, and highly scalable big-data stores; familiarity with Agile working models.**

📌 Senior Data Engineer (AWS) (Bengaluru)
🏢 Staffnix
📍 Bengaluru