JobCubby JobCubby
Sign up
Aliaxis

Data Engineer

Aliaxis Bangalore, Karnataka, India

Wholesale Building Materials · 1,001-5,000 employees

19 h ago
data-engineer Mid (2-5 yrs) Full-time India
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

Lead the design, development, and optimization of data warehousing solutions and ETL/ELT pipelines using Snowflake, AWS Glue, and related technologies, ensuring data quality and reliable loading. Guide and mentor the data engineering team, apply AI/ML solutions, and collaborate with stakeholders to deliver data solutions for Finance, Accounts, and Manufacturing.

What they look for

Data Warehousing ETL/ELT Data Integration Snowflake AWS Glue SQL Python Java Data Modeling Data Mining Lakehouse Architecture AI/ML AWS Bedrock Cortex AI Stakeholder Collaboration Agile Development

Requirements

Requires 3–5 years of overall experience, including 2+ years in data analytics and digital solutions, a BTech in Computer Science or IT, and hands-on experience with SQL, data models, and programming languages such as Java or Python. Candidates should have cloud ETL/ELT, cloud data warehousing, AI/ML, and relevant domain exposure, along with strong analytical, communication, influencing, and problem-solving skills.

Full description

Responsibilities:

  • Lead the architecture, design, and development of data warehousing solutions.
  • Provide technical guidance and mentorship to the data engineering team.
  • Ensure best practices in data warehousing, ETL / ELT processes, and data integration.
  • Design, develop, and optimize ETL / ELT pipelines using industry-standard tools.
  • Ensure data accuracy, integrity, and consistency across data sources.
  • Monitor and troubleshoot ETL / ELT processes to ensure timely and accurate data loading.
  • Implement and manage data warehousing solutions using Snowflake.
  • Utilize AWS Glue for data integration and ETL / ELT tasks.
  • Optimize data storage and retrieval processes to enhance performance.
  • Apply AI/ML concepts to extract insights from large datasets.
  • Integrate AI solutions like Cortex AI/AWS Bedrock into the data warehousing environment.
  • Leverage knowledge in Finance, Accounts, and Manufacturing to understand business requirements.
  • Develop data solutions that address specific needs within these domains.
  • Collaborate with stakeholders to gather and analyse business requirements

Requirement:

  • Overall, 3 to 5 years’ experience in which 2+ years of experience in Data Analytics and Digital solutions with exposure to Lake house architecture
  • BTech in Computer Science or IT
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g. Java and Python) and with hands-on experience with SQL database design
  • Exposure to Cortex AI, AWS Bedrock, Copilot studio (good to have)
  • Strong analytical and problem-solving skills. Strong influencing and communication skills (written, verbal, presentation) with the ability to be a thought partner/ coach to internal team
  • Should have exposure to Cloud ETL/ ELT, Cloud DWH, AI and ML tools
  • Domain expertise in Finance, Accounts, and Manufacturing.
  • Exposure to agile software development, and/or development management
  • Positive attitude and motivation to deliver and ensure highest quality deliverables. Able to respond positively and calmly to shifting priorities, demands and timelines

Similar roles