Data Engineer Trainee

Key Responsibilities: • Engage in a comprehensive training program covering the latest technologies in Data Engineering, Cloud Platforms, and the Databricks Lakehouse ecosystem. • Collaborate with cross-functional teams to understand client data requirements and contribute to the design of scalable data pipelines and solutions. • Develop, test, and maintain ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake in accordance with industry best practices. • Assist in building and optimizing data ingestion, transformation, and orchestration workflows across structured and unstructured data sources. • Participate in code reviews, learning sessions, and workshops to continually enhance technical skills in data engineering and cloud technologies. • Work on real-world data projects that contribute to the success of Synechron's clients, including data modeling, pipeline automation, and performance tuning. • Support the implementation of data quality checks, governance standards, and monitoring practices within the Lakehouse architecture. • Receive mentorship from experienced professionals in the field of Data Engineering and Databricks. Qualifications: • Recent graduate with a bachelor's or master's degree in computer science, data engineering, information systems, or a related field. • Strong understanding of computer science fundamentals, including algorithms, data structures, and database concepts. • Passionate about pursuing a career in Data Engineering and the Databricks/Big Data ecosystem. • Basic knowledge of programming languages such as Python, SQL, or Scala. • Familiarity with Apache Spark, Databricks, Delta Lake, or cloud platforms (Azure, AWS, or GCP) is a plus. • Understanding of data warehousing, ETL concepts, and distributed computing principles is advantageous. • Excellent analytical and problem-solving skills. • Strong communication and teamwork abilities. What We Offer: • A dynamic and supportive training environment with a blend of technical learning and hands-on practical application using Databricks. • Exposure to cutting-edge data engineering technology and the opportunity to work on meaningful, large-scale data projects. • A clear career path post-training, with opportunities for advancement in Data Engineering, Cloud Data Architecture, or Analytics Engineering. • Competitive salary and benefits package. • A culture that values innovation, inclusivity, and continuous professional development.