Data Engineer08

Ova Technologies

Data Engineer

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will work closely with data analysts, data scientists, and software engineers to ensure reliable data flow and efficient data processing for business insights.

Key Responsibilities

Design, develop, and maintain data pipelines (ETL/ELT processes)
Build and optimize data architectures, databases, and data lakes
Ensure data quality, integrity, and availability across systems
Integrate data from multiple sources (APIs, databases, streaming systems)
Develop and maintain data models for analytics and reporting
Monitor, troubleshoot, and improve data pipeline performance
Collaborate with cross-functional teams to understand data requirements
Implement data security and governance best practices
Automate data workflows and processes

Required Skills & Qualifications

Bachelor's degree in Computer Science, Engineering, or related field
2–6 years of experience in data engineering or related roles
Strong programming skills in Python / Java / Scala
Experience with SQL and database technologies (MySQL, PostgreSQL, etc.)
Hands-on experience with ETL tools and data pipeline frameworks
Knowledge of big data technologies like Apache Spark, Hadoop
Experience with cloud platforms such as AWS / Azure / GCP
Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
Understanding of distributed systems and data architecture

Preferred Qualifications

Experience with workflow orchestration tools like Apache Airflow
Knowledge of streaming technologies (Kafka, Flink)
Familiarity with DevOps practices and CI/CD pipelines
Experience in data modeling and schema design
Certification in cloud platforms (AWS, Azure, or GCP)

Key Competencies

Strong analytical and problem-solving skills
Attention to detail
Collaboration and teamwork
Effective communication skills
Ability to work in a fast-paced environment

Apply

Vacancy posted 4 days ago

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