Java Full Stack Developer

InfoVision Inc.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

InfoVision Inc. seeks an experienced Data Architect in Bengaluru to design and implement Data Warehouses and Big Data solutions using modern cloud technologies. The role involves collaborating with stakeholders to build reliable data pipelines and mentoring junior engineers. Candidates should have 5+ years of ETL experience, a solid understanding of cloud platforms like Google Cloud or AWS, and a degree in Computer Science or a related field. This position requires being on-site three days a week.

Qualifications

• 5+ years of ETL & Data Architecture experience working with large datasets (5+TB highly desired).
• 4+ years of experience leading or mentoring technical teams.
• Comfortable designing and implementing DW Architecture and OLAP technologies.

Responsibilities

• Design and deliver Data Warehouses, Data Lake, and Self-Service Tooling solutions.
• Collaborate with stakeholders to define data architecture roadmap.
• Act as a technical mentor to junior engineers.

Skills

ETL development

Python

Java

Google Cloud Platform

AWS

Azure

Data Warehousing

Kafka

Hadoop

Data Architecture

Business Intelligence Tools

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

PowerBI

Looker

Spark

Cassandra

MongoDB

Job description

Qualifications

• Expert in ETL development, experienced with Python, Java, or equivalent scripting language.
• Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale.
• Comfortable designing and implementing DW Architecture, OLAP technologies, and star/snowflake schemas to enable self‑service tooling.
• Experienced with real‑time data streaming tools like Kafka, Kinesis, Apache Storm, Beam or similar tools.
• Experienced with big data technologies like Hadoop, Spark, Cassandra, MongoDB or other open source big data tools.
• Experienced architecting data solutions utilizing BI tools like Looker, PowerBI, or similar tools.
• Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross‑functionally with engineering and business partners. Previous e‑commerce experience is a plus.
• 5+ years of ETL & Data Architecture experience working with large data sets (5+TB highly desired).
• 4+ years of experience leading or mentoring technical teams.
• Bachelor’s or Master’s in Computer Science, Computer Engineering, Statistics, or another quantitative discipline.
• Candidate must be located in Bangalore and work from the customer office thrice a week (Monday, Wednesday, Friday).

Preferred Qualifications

• BS degree in Computer Science or Engineering or equivalent experience.

Roles & Responsibilities

You will be instrumental in designing and delivering Data Warehouses, Data Lake, Self‑Service Tooling, Real‑time Streaming and Big Data Solutions for multiple functional areas using modern cloud technologies. You will have the chance to combine a deep knowledge of business and technical mastery to own and deliver the right solution for the right business problem. Most importantly, you will have the opportunity to move fast, adapt quickly, and leave a lasting mark through the new solutions you deliver!

What You’ll Do

• Own the technical architecture, design, and implementation of big data platforms and self‑service solutions.
• Collaborate with stakeholders and other engineering leaders to define and develop the data architecture roadmap, build highly reliable and observable data pipelines across multiple cloud‑native technologies with quality management and traceability baked into its design.
• Act as a subject matter expert to leadership for technical guidance around solution design and best practices.
• Be a technical mentor to junior engineers and expose the team to new opportunities, while still being able to dependably deliver on ongoing goals.
• Keep current on big data and data visualization technology trends, evaluate, work on proof‑of‑concepts and make merit‑based recommendations on technologies.