We are looking for a highly motivated Associate Software Engineer – Data Engineering to join our team. This is an excellent opportunity for recent graduates or early-career professionals who are passionate about data engineering, big data technologies, and building scalable data pipelines. In this role, you will work with experienced engineers to develop, optimize, and maintain data infrastructure, ensuring high performance, reliability, and scalability...
Core Responsibilities
Assist in designing, developing, and maintaining scalable data pipelines and ETL processes.
Work with structured and unstructured data from multiple sources to ensure data availability and integrity.
Optimize database queries and data processing for performance and efficiency.
Collaborate with data scientists, analysts, and software engineers to enable data-driven decision-making.
Implement data models and schemas for analytical and operational use cases.
Support data governance, security, and compliance efforts.
Troubleshoot and debug data-related issues, ensuring data quality and consistency.
Stay updated with the latest advancements in data engineering and big data technologies.
Qualification
Education: Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
Technical Skills:
Proficiency in SQL and experience with relational databases (MySQL, PostgreSQL, etc.).
Knowledge of programming languages such as Python, Java, or Scala.
Understanding of data warehousing concepts and ETL frameworks.
Familiarity with big data technologies like Apache Spark, Hadoop, or Kafka is a plus.
Exposure to cloud platforms (AWS, Azure, GCP) and data services.
Basic understanding of version control tools (Git) and CI/CD processes.
Required Skills
Internship or project experience in data engineering.
Knowledge of data pipeline orchestration tools (Apache Airflow, Prefect, etc.).
Familiarity with data visualization and analytics tools (Tableau, Power BI, Looker).
