Middle Data Engineer

Sobre a oportunidade

Design, develop, and maintain ETL/ELT pipelines

Build and optimize data transformations to support analytics and reporting needs

Develop and maintain data models, datasets, and integration solutions

Ensure data quality, consistency, and reliability through testing and monitoring

Troubleshoot and resolve data pipeline and performance issues

Collaborate with analysts, engineers, and business stakeholders to deliver data-driven solutions

Contribute to the development and maintenance of cloud-based data platforms

Participate in code reviews and technical discussions

Create and maintain technical documentation for implemented solutions

Continuously improve existing data processes and platform performance

3+ years of experience in Data Engineering or Software Engineering

Upper-Intermediate English level

Strong SQL skills and understanding of relational and dimensional data modeling

Hands-on experience with Python for data processing and automation

Experience building and maintaining ETL/ELT pipelines

Hands-on experience with Databricks and Apache Spark

Experience working with Snowflake

Understanding of data warehousing and modern data platform concepts

Experience working with cloud environments, preferably AWS

Familiarity with CI/CD, Git, and software engineering best practices

Strong analytical, troubleshooting, and communication skills

WILL BE A PLUS

Experience with streaming data processing

Knowledge of orchestration tools such as Airflow or Dagster

Experience with infrastructure as code practices

Familiarity with data quality and observability frameworks

Exposure to large-scale distributed data systems

Experience working in Agile environments

PERSONAL PROFILE

Strong analytical mindset

Detail-oriented and quality-focused

Proactive and collaborative approach

Good communication and teamwork skills

Willingness to learn and grow within modern Data Engineering environments

Ability to work independently in remote teams

Do you enjoy building scalable data solutions that enable analytics, reporting, and business intelligence? We are looking for a Middle Data Engineer to join a remote team working on modern cloud-native data platforms and distributed data processing systems.

In this role, you will contribute to the development and optimization of ETL/ELT pipelines, data models, and cloud-based data architectures using technologies such as Databricks, Apache Spark, Snowflake, and AWS. This opportunity is ideal for engineers who want to deepen their expertise in modern Data Engineering practices while working on impactful business solutions.

We at Sigma Software value collaboration, continuous learning, and technical excellence. Joining our team means working in a supportive engineering environment with opportunities for professional growth, knowledge sharing, and long-term career development.

CUSTOMER

Our customer operates within a modern data-driven environment focused on analytics, reporting, and operational decision-making. The platform ecosystem combines cloud-native technologies, distributed processing frameworks, and scalable infrastructure to support reliable and high-performance data solutions.

PROJECT

The project focuses on building and maintaining scalable cloud-based data platforms that support analytics and business intelligence initiatives. The team develops ETL/ELT pipelines, optimizes data transformations, and enhances modern data architectures using distributed data processing technologies and cloud infrastructure.

Key Technologies: Python, SQL, Apache Spark, Databricks, Snowflake, AWS, ETL/ELT, CI/CD

Originally posted on Himalayas