Data Engineer

Acqueon; Bengaluru; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

A tech company specializing in data solutions is seeking a Mid-Senior level Data Engineer to design and implement a robust Customer Data Platform. This role entails developing scalable services and ETL/ELT pipelines while collaborating closely with other teams. The ideal candidate has 5-7 years of experience in software/data engineering, strong knowledge of Snowflake, and programming skills in Java, .NET, Python, or SQL.

Formación

• 5-7 years of software/data engineering experience.
• Extensive experience with data transformation and modeling.
• Deep knowledge of Snowflake for data warehousing.

Responsabilidades

• Design and implement data platform solutions.
• Develop and orchestrate ETL/ELT pipelines using Apache Airflow.
• Collaborate with cross-functional partners.

Conocimientos

Software/data engineering experience

Data transformation and modeling

Snowflake for data warehousing

Data streaming technologies (Kafka)

Distributed systems and microservices

Programming languages (Java, .NET, Python, SQL)

Apache Airflow

Containerization and Kubernetes

AWS cloud platform

Code quality and test automation

Communication skills

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Apache Airflow

Snowflake

AWS

Descripción del empleo

Direct message the job poster from Acqueon

About the Job

We are building a Customer Data Platform (CDP) designed to unlock the full potential of customer experience (CX) across our products and services. This role offers the opportunity to design and scale a platform that unifies customer data from multiple sources, ensures data quality and governance, and provides a single source of truth for analytics, personalization, and engagement.

As a key member of the data engineering team, you will architect and implement the pipelines, storage layers, and integrations that power our CDP. You’ll work with product, data science, and engineering stakeholders to deliver a robust platform that supports real-time decision-making, personalization at scale, and actionable customer insights.

This is a high-impact, hands-on engineering role where you’ll shape the data foundation that directly influences how we understand and serve our customers.

What you will be doing

• Design and implement Five9’s Customer Data Platform solutions and enable production use cases for customers
• Design and develop highly scalable and resilient services for ingesting large scale datasets
• Demonstrate strong ownership by ensuring operational excellence with a sharp focus on monitoring, observability, and system reliability
• Develop and orchestrate ETL/ELT pipelines using Apache Airflow
• Collaborate with cross functional partners and lead technical initiatives independently end to end.
• Design, build, and optimize distributed query engines such as Apache Spark, or Snowflake to support complex data workloads.
• Write, review, or provide feedback on a technical design proposal from others.

Skills

• 5-7 years of software/data engineering and data platform experience
• Extensive experience with data transformation and modeling, including advanced features and best practices
• Deep knowledge of Snowflake for data warehousing, including optimization, security, and cost management
• Good understanding of data streaming technologies such as Kafka/Kafka Connect
• Strong knowledge of highly scalable distributed systems, microservices, Rest APIs
• Strong proficiency in object oriented and/or functional programming language such as Java, .NET, Python and SQL for data processing, transformation, and pipeline development
• Knowledge of Apache Airflow for workflow orchestration is nice to have
• Understanding of containerization and Kubernetes concepts
• Experience with the AWS cloud platform and infrastructure as code practices
• Maintain high standards of code quality with keen eye for test automation and operational excellence
• Track record of delivering scalable data engineering solutions that support analytics, machine learning, and operational use cases
• Excellent written and verbal communication and interpersonal skills
• Bachelor\'s degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Software Development and Data Infrastructure and Analytics