Snowflake, ETL, DBT Developer

Betanxt; Bengaluru; Hybrid; INR 1,000,000 - 1,500,000; Full time

Job summary

Betanxt is seeking a skilled data engineer to architect and implement data ingestion and warehousing solutions in Bengaluru, India. The ideal candidate will have over 5 years of experience in a data-related software engineering role and hands-on experience with Snowflake and Kafka technologies.

The successful candidate will work autonomously and collaboratively on developing and maintaining data models, ensure best practices in code and design, and deliver solutions to customers. Strong SQL skills, knowledge of ETL processes, and a bachelor's degree are required.

Qualifications

• 5+ years of professional experience in a data-related software engineering role.
• Solid design knowledge for extensible, reusable data deliveries.
• Willingness to learn new technologies rapidly.

Responsibilities

• Architect and implement data ingestion and warehousing solutions.
• Optimize SQL queries and ensure secure coding practices.
• Collaborate with cross-functional teams to meet project goals.

Skills

Data ingestion and warehousing

Hands-on experience in Snowflake

ETL and reverse ETL processes

SQL querying and optimization

Data architecture knowledge

Experience with Apache Kafka

Familiarity with IAC tools like Terraform

Programming in Python and PowerShell

Education

Bachelors in Computer Science or Software Engineering

Tools

Data Build Tool (DBT)

AWS Services

Job description

Duties and Responsibilities

• Architect and implement data ingestion and warehousing solutions.
• Hand‑on day‑to‑day work in Snowflake, DBT.
• Develop and maintain data models, ETL, and reverse ETL processes.
• Write and optimize SQL queries, functions, and stored procedures.
• Ensure best practices in code and design, including secure coding practices.
• Review and improve data architecture, modeling, and queries.
• Deliver data solutions to customers and internal applications.
• Collaborate with cross‑functional teams to meet project goals. Design, develop, and maintain streaming data pipelines using Apache Kafka, with Confluent Cloud as the preferred platform for near real‑time data processing.

Skills and Experience

• 5+ years of professional experience in a data‑related software engineering role.
• Bachelors in computer science, Software Engineering, or equivalent.
• Hands‑on experience with coding, analytical, and data querying knowledge.
• Experience with all phases of the software development life cycle and Agile software development.
• Solid design knowledge to create extensible, reusable data deliveries that meet architectural objectives and security assessments.
• Willingness to learn new technologies and quickly get up to speed.
• Ability to work autonomously and in teams.
• Excitement for new technologies and challenges of scale.
• Proficiency in:
  • Data Build Tool (DBT) or any analogous tool
  • Data warehousing, including data modeling, ETL, and reverse ETL
  • SQL queries, functions, and stored procedures
  • Various data delivery methodologies (files, streams, APIs)
• Working experience with Kafka concepts and components, including:
  • Topics, partitions, offsets, and consumer groups
  • Producers and consumers
  • Schema evolution using Schema Registry (Avro/JSON/Protobuf)
  • Understanding of data‑related application SDKs
  • Good Hands‑on with AWS Services that are required for data translation.
• Familiarity with Infrastructure as Code (IAC) tools like Terraform is a plus
• Knowledge of programming languages such as Python and PowerShell preferre