Data Engineer

Aliaxis; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Aliaxis in Bengaluru is seeking a Data Engineer to lead the architecture, design, and development of data warehousing and analytics solutions. You will mentor the team, drive ETL/ELT pipelines, and ensure data accuracy across sources.

The role requires 3–5 years of data engineering experience, strong Java/Python coding, SQL design, and exposure to Cortex AI and AWS Bedrock. Prior finance, accounts, and manufacturing domain knowledge is a plus. A data-driven, collaborative mindset is essential.

Qualifications

• 3 to 5 years’ experience in data engineering / analytics.
• 2+ years in Data Analytics and Digital solutions with exposure to Lakehouse architecture.
• BTech in Computer Science or IT.
• Strong programming skills in Java and Python; proficient in SQL database design.
• Exposure to Cortex AI, AWS Bedrock, Copilot Studio is a plus.
• Experience with Cloud ETL/ELT and Cloud Data Warehouses.
• Domain knowledge in Finance, Accounts, and Manufacturing is beneficial.
• Excellent problem-solving and communication skills.

Responsibilities

• Lead architecture, design, and development of data warehousing solutions.
• Mentor data engineering team and ensure best practices in ETL/ELT and data integration.
• Design, develop, and optimize ETL/ELT pipelines using standard tools.
• Ensure data accuracy and consistency across sources; monitor ETL/ELT processes.
• Implement and manage Snowflake-based data warehousing; use AWS Glue for integration.
• Collaborate with stakeholders to gather and analyze business requirements.

Skills

Data analytics

Lakehouse architecture

Java

Python

SQL

ETL/ELT

Communication

Education

BTech in Computer Science or IT

Tools

Snowflake

AWS Glue

Cortex AI

AWS Bedrock

Copilot Studio

Job description

## Data EngineerApply: IN KA - Bangalore: Full time: Posted Today: R-56448**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