Back
Metro Bangalore, common Data Engineer title, and mid-level (3-5 years) hiring attract many applicants.
Core data engineering skills transfer across industries, but Finance/Manufacturing domain knowledge raises sensitivity.
Explicit 3–5 years plus mandatory Snowflake, AWS Glue, ETL, and domain expertise increases filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead architecture, design, and development of data warehousing solutions using Snowflake and AWS Glue.
Design, optimize, and troubleshoot ETL / ELT pipelines ensuring data accuracy and performance.
Integrate AI/ML solutions like Cortex AI and AWS Bedrock to extract insights from large datasets in Finance, Accounts, and Manufacturing domains.
3 to 5 years work experience with at least 2 years in Data Analytics and Digital solutions involving Lake house architecture.
BTech in Computer Science or IT mandatory.
Technical skills in data models, data mining, segmentation, Java, Python, SQL database design, Cloud ETL/ELT, Cloud DWH, AI and ML tools.
Domain expertise required in Finance, Accounts, and Manufacturing.
Experienced in leading data warehousing projects with strong operational ownership of ETL/ELT pipeline design and troubleshooting.
Hands-on with AI/ML integration in data platforms, especially using Cortex AI, AWS Bedrock, and related technologies.
Comfortable collaborating with stakeholders to translate business needs in Finance, Accounts, and Manufacturing into technical data solutions.