Data Engineer

🕒 April 1

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Metova, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2006

🛍️ eCommerce

💳 Fintech

☁️ SaaS

💰 Private Equity Round on 2018-04

eCommerce • Fintech • SaaS

Metova is a digital consulting and delivery services firm that partners with enterprises and startups to provide end-to-end digital solutions. Their offerings include strategic planning, custom software development, UX/UI design, and quality assurance, all aimed at enhancing digital transformation and supporting the entire product lifecycle. By focusing on customer-centric and innovative solutions, Metova ensures that brands can effectively leverage technology to meet market demands and drive growth.

📋 Description

• Participate in cross-functional meetings to define project objectives and scope. • Analyze and prioritize business requirements related to data. • Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). • Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). • Write clean, efficient, and scalable code, adapting to new technologies as needed. • Implement data quality methodologies throughout ingestion and transformation processes. • Optimize services, queries, and processes to reduce operational costs and improve performance. • Validate the functionality, integrity, and security of data engineering processes.

🎯 Requirements

• Bachelor’s degree in Computer Systems Engineering, Computer Science, or related field. • Specialization in Data Engineering (preferred). • 5 to 8 years of experience in similar roles. • Hands-on experience with batch and streaming data processing. • Intermediate-Advanced English proficiency. • Programming languages: Java, Scala, Python, and SQL. • Experience with data processing frameworks (Spark, Flink, etc.). • Knowledge of SQL and NoSQL databases (PostgreSQL, Cassandra, MongoDB, etc.). • Experience with orchestration and ETL tools (Airflow, Airbyte, Stitch, etc.). • Experience handling large-scale data transformations across multiple formats. • Design and architecture of Data Lakes, Data Warehouses, and Lakehouse solutions. • Data modeling (star schema, snowflake schema, OBT). • Development and consumption of REST APIs. • Agile methodologies and version control (Git). • Experience with web scraping projects (nice to have). • Knowledge of additional languages such as Go or JavaScript (nice to have). • Experience with streaming and messaging systems (Kafka, RabbitMQ) (nice to have). • Background in data science projects (nice to have).