Strong Senior Data Engineer Profile with AWS data-warehousing and pipeline expertiseMandatory (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 servicesMandatory (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.Mandatory (Tech skill 2): Must have expert-level experience creating scalable data warehouses — Fact tables, Dimensional tables, and ingesting datasets into cloud-based tools.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.Mandatory (Tech skill 4): Must have hands-on experience creating and maintaining optimal ETL/ELT data pipeline architecture into structured data.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)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.Mandatory (Tech skill 7):



Must have experience with GitHub for version control, code collaboration, code reviews, branching strategies, and continuous integration.Mandatory (Tech skill 8): Must have robust analytical skills across structured and unstructured datasets, with experience performing root-cause analysis to answer business questions and identify improvements.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).Mandatory (Tech skill 10): Working knowledge of message queuing, stream processing, and highly scalable big-data stores; familiarity with Agile working models.Mandatory (Project Alignment): Current or recent role must clearly demonstrate hands-on work with AWS data platforms and ETL pipeline implementation—resume must describe specific projects, tools used, and candidate's direct scopeMandatory (Education): Bachelor’s or master’s degree on Technology and Computer Science backgroundMandatory (Availability): Must be an immediate joiner or currently serving notice period, able to start within the next weekMandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month

Interested candidate send resume to [email protected]

Pay: ₹1,100,000.00 - ₹1,800,000.00 per year

Work Location: In person

📌 senior data engineer (AWS) (Bengaluru)
🏢 TalentXO
📍 Bengaluru