Junior DS engineer

Job Summary 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, storage, and accessibility for business insights and analytics. Job Title Data Engineer Key Responsibilities Develop, maintain, and optimize ETL/ELT pipelines Build scalable data architectures and data warehouses Integrate data from multiple sources (APIs, databases, cloud platforms) Ensure data quality, integrity, and security Monitor and troubleshoot data pipeline performance Collaborate with analytics and business teams for reporting needs Implement data governance and best practices Automate workflows and improve data processing efficiency Support real-time and batch data processing systems Required Skills & Qualifications Technical Skills Strong knowledge of SQL and database systems Experience with Python, Scala, or Java Hands‑on experience with ETL tools and frameworks Knowledge of cloud platforms such as: Amazon Web Services Google Cloud Microsoft Experience with big data technologies: Apache Spark Hadoop Kafka Familiarity with data warehousing concepts Understanding of CI/CD and DevOps practices Soft Skills Problem‑solving mindset Strong communication skills Team collaboration Analytical thinking Attention to detail Educational Requirements Bachelor's degree in Computer Science, Information Technology, Data Science, or related field Relevant certifications are a plus Preferred Experience 2+ years of experience in data engineering or related roles Experience with modern data stack tools like Airflow, Snowflake, Databricks, or dbt Exposure to machine learning pipelines is an advantage Example Tools & Technologies Programming: Python, SQL, Java Databases: PostgreSQL, MySQL, MongoDB Cloud: AWS, Azure, GCP Orchestration: Airflow Warehousing: Snowflake, Redshift, BigQuery Version Control: Git #J-18808-Ljbffr