Data Engineer
at Pixis AI
4 - 6 yrs
Upto ₹45L / yr (Varies )
Bengaluru (Bangalore)
Skills
Python
Go Programming (Golang)Apache Kafka
Apache Spark
Apache Airflow
SQL
NOSQL Databases
Amazon Web Services (AWS)Windows Azure
Google Cloud Platform (GCP)
Key Responsibilities:
- Design, build, and maintain scalable, real-time data pipelines using Apache Flink (or Apache Spark).
- Work with Apache Kafka (mandatory) for real-time messaging and event-driven data flows.
- Build data infrastructure on Lakehouse architecture, integrating data lakes and data warehouses for efficient storage and processing.
- Implement data versioning and cataloging using Apache Nessie, and optimize datasets for analytics with Apache Iceberg.
- Apply advanced data modeling techniques and performance tuning using Apache Doris or similar OLAP systems.
- Orchestrate complex data workflows using DAG-based tools like Prefect, Airflow, or Mage.
- Collaborate with data scientists, analysts, and engineering teams to develop and deliver scalable data solutions.
- Ensure data quality, consistency, performance, and security across all pipelines and systems.
- Continuously research, evaluate, and adopt new tools and technologies to improve our data platform.
Skills & Qualifications:
- 3–6 years of experience in data engineering, building scalable data pipelines and systems.
- Strong programming skills in Python, Go, or Java.
- Hands-on experience with stream processing frameworks – Apache Flink (preferred) or Apache Spark.
- Mandatory experience with Apache Kafka for stream data ingestion and message brokering.
- Proficiency with at least one DAG-based orchestration tool like Airflow, Prefect, or Mage.
- Solid understanding and hands-on experience with SQL and NoSQL databases.
- Deep understanding of data lakehouse architectures, including internal workings of data lakes and data warehouses, not just usage.
- Experience working with at least one cloud platform, preferably AWS (GCP or Azure also acceptable).
- Strong knowledge of distributed systems, data modeling, and performance optimization.
Nice to Have:
- Experience with Apache Doris or other MPP/OLAP databases.
- Familiarity with CI/CD pipelines, DevOps practices, and infrastructure-as-code in data workflows.
- Exposure to modern data version control and cataloging tools like Apache Nessie.
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About Pixis AI
Founded :
2018
Type :
Product
Size :
1000-5000
Stage :
Profitable
About
Pixis is a global tech company that develops accessible codeless AI technology to help brands scale their marketing efforts. They provide AI infrastructure for marketers, agencies, and creative professionals to enhance performance marketing in a complex consumer behavior landscape.
Read more
Tech stack
Apache Kafka
Apache Spark
React.js
NodeJS (Node.js)Candid answers by the company
What does the company do?
What is the location preference of jobs?
Pixis is a codeless AI platform for marketing teams. Think of it as an AI co-pilot for marketers that helps them:
- Create and optimize marketing campaigns
- Generate and improve ad content
- Find and target the right audiences
- Track performance in real-time
- Make data-driven marketing decisions
All of this is done through their three main AI products:
- Targeting AI
- Creative AI
- Performance AI
Company social profiles
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Business and technology services Co delivering IT solution
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via Bondburry Recruitmenrt Pvt Ltd by Nazima Dina
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Read more
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Shubham Vishwakarma
Full Stack Developer - AverlonI had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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