<p><p>We are looking for a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and architectures.
The ideal candidate will work closely with data scientists, analysts, and business stakeholders to ensure that high-quality, reliable data is available for analytics and business decision-making.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.<br/><br/></p><p>- Build and optimize data warehouses, data lakes, and data marts to support analytics and reporting.<br/><br/></p><p>- Collaborate with data scientists and analysts to understand data requirements and implement solutions.<br/><br/></p><p>- Ensure data quality, integrity, and consistency across multiple sources.<br/><br/></p><p>- Implement data governance, security, and compliance best practices.<br/><br/></p><p>- Monitor and troubleshoot data pipeline performance and optimize for efficiency.<br/><br/></p><p>- Evaluate and recommend new tools, technologies, and frameworks for data processing and storage.<br/><br/></p><p>- Document processes, pipelines, and systems for operational transparency.<br/><br/><b>Qualifications & Skills :</b><br/><br/></p><p>- Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or related field.<br/><br/></p><p>- Proven experience as a Data Engineer, Big Data Engineer, or similar role.<br/><br/></p><p>- Strong programming skills in Python, Java, or Scala.<br/><br/></p><p>- Hands-on experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).<br/><br/></p><p>- Experience with cloud platforms like AWS, Azure, or GCP, including services for data storage and processing.<br/><br/></p><p>- Familiarity with big data tools such as Hadoop, Spark, Kafka, or Airflow.<br/><br/></p><p>- Strong problem-solving, analytical, and communication skills.<br/><br/></p><p>- Knowledge of data modeling, ETL frameworks, and data warehousing concepts.<br/><br/></p><p>- Experience with CI/CD pipelines and version control (e.g., Git) is a plus.</p><br/></p> (ref:hirist.tech)