> job detail
D
👽Other
Data Engineer
Digitainsoftware · Yerevan, Armenia
// classified as
Other (Adjacent or hard to classify.)
posted
1d ago
location
Yerevan, Armenia
languages
bash, java, python
tools
aws, azure, hadoop
> stack
bashjavapythonsqlawsazurehadoopkafkanosqlredshiftsnowflakesparkairflow
> description
We are looking for a skilled Data Engineer to design, build, and maintain the infrastructure that supports our data management, processing, and analytics capabilities.
In this role, you will work closely with cross-functional teams to develop scalable data pipelines, modern storage solutions, and effective data governance frameworks. You will play a key role in ensuring that organizational data is accurate, accessible, secure, and optimized for reporting, analytics, and machine learning use cases.
Responsibilities
Design, develop, and maintain scalable and efficient data pipelines for collecting, processing, transforming, and storing large volumes of data.- Build, manage, and optimize modern data storage solutions, including data lakes and data warehouses.
- Collaborate with cross-functional teams to define and implement data governance, security, and compliance practices.
- Partner with data analysts and data scientists to optimize data architecture for reporting, analytics, and machine learning workloads.
- Monitor data pipelines and storage infrastructure, identify performance or reliability issues, and implement appropriate solutions.
- Ensure data quality, accuracy, consistency, and integrity through validation, monitoring, and control mechanisms.
- Conduct code reviews and contribute to the continuous improvement of engineering standards and practices.
- Mentor and support junior engineers when required.
- Communicate with business stakeholders to understand data requirements and deliver effective, scalable solutions.
- Stay up to date with emerging technologies, industry trends, and best practices in data engineering.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field.
- At least 3 years of hands-on experience in data engineering or a related technical role.
- Strong expertise in SQL, database design, and data modeling.
- Proficiency in at least one programming language, such as Python, Java, or Scala.
- Strong knowledge of ETL and ELT processes, tools, and best practices.
- Experience working with relational and NoSQL databases.
- Experience with Linux-based environments and Bash scripting.
- Hands-on experience with data warehouse technologies such as Snowflake, Amazon Redshift, or Google BigQuery.
- Knowledge of Big Data technologies, including Hadoop and Apache Spark.
- Experience with data streaming technologies such as Apache Kafka and Spark Streaming.
- Experience with workflow orchestration tools such as Apache Airflow, AWS Glue, or similar platforms.
- Practical experience with cloud-based data platforms, including AWS, Microsoft Azure, or Google Cloud Platform.
- Experience implementing CI/CD pipelines for data workflows.
- Familiarity with version control systems, particularly Git.
- Knowledge of data security, privacy, and regulatory compliance standards, including GDPR and HIPAA.
- Exposure to data cataloging, metadata management, and data lineage tools such as Apache Atlas or Amundsen.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- High attention to detail and the ability to perform effectively in a fast-paced environment.