Note: The job is a remote job and is open to candidates in USA. Evolutyz Corp is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and enterprise data solutions. The ideal candidate will work with cloud data platforms, ETL/ELT tools, relational databases, and big data technologies to support analytics, reporting, and operational business needs.
Responsibilities
- Design, develop, and maintain ETL/ELT pipelines to ingest data from multiple source systems
- Build and optimize data models, SQL queries, stored procedures, and database objects
- Integrate data from APIs, cloud storage, relational databases, and third-party platforms
- Transform, cleanse, validate, and enrich data to ensure accuracy and consistency
- Develop and support cloud-based data warehouse solutions
- Monitor pipeline performance, troubleshoot failures, and resolve data-quality issues
- Optimize data-processing workflows for scalability, reliability, and performance
- Collaborate with business analysts, architects, and stakeholders to understand data requirements
- Support reporting, dashboards, analytics, and downstream applications
- Document data flows, technical designs, and operational procedures
- Participate in code reviews, testing, deployment, and production support
Skills
- Strong experience with SQL and data warehousing
- Hands-on experience with ETL/ELT tools such as Matillion, Talend, Fivetran, or similar platforms
- Experience with cloud data platforms such as Snowflake, Redshift, Azure, or AWS
- Experience working with Python, PySpark, or Scala
- Knowledge of data modeling, data integration, and data-quality practices
- Experience with relational databases and cloud storage
- Strong troubleshooting, communication, and problem-solving skills
- Experience with Snowflake and Matillion
- Knowledge of Hadoop, Spark, and distributed data processing
- Familiarity with Azure Blob Storage, AWS S3, SQL Server, and Git
- Cloud or data engineering certifications
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