Roles and Responsibilities
Create and maintain optimal data pipeline architecture for ETL/ELT into structured data
Assemble large, complex data sets that meet business requirements and create multi-dimensional modelling like Star Schema and Snowflake Schema
Expert level experience in creating scalable data warehouse including Fact tables, Dimensional tables and ingest datasets into cloud-based tools.
Identify, design, and implement internal process improvements including automating manual processes and optimizing data delivery
Collaborate with stakeholders to ensure seamless integration of data with internal data marts, enhancing advanced reporting.
Setup and maintain data ingestion, streaming, scheduling, and job monitoring automation using AWS services including Lambda, Code Pipeline, Glue, S3, and Redshift.
Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition and operational efficiency.
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.




Utilize Git Hub for version control, code collaboration, and repository management
Create data tools for analytics and data scientist team members
Ensure data privacy and compliance with relevant regulations when handling customer data.
Maintain data quality and consistency within the application
Requirements
1 Robust Senior Data Engineer Profile with AWS data-warehousing and pipeline expertise
2 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.
4 Mandatory (Tech skill 2): Must have expert-level experience creating scalable data warehouses — Fact tables, Dimensional tables, and ingesting datasets into cloud-based tools.
5

📌 Senior data engineer (Bengaluru)
🏢 DataZymes
📍 Bengaluru