Job Title: Sr. Database Engineer Location: Metro Park, NJ ( Onsite / Hybrid ) Duration : 12 Months Exp Req : 10+ Job Description: Skills Mandatory :: Spark, Python, Scala and Advanced database skills Job Summary: We are seeking a highly skilled Senior Database Engineer with expertise in big data processing, advanced database design, and programming in Python and Scala. The ideal candidate will have a strong background in Apache Spark, distributed computing, and modern database technologies, and will play a key role in building scalable, high-performance data platforms and pipelines that drive business insights and decisions. Key Responsibilities: Design, implement, and maintain robust and scalable data pipelines using Apache Spark and Scala/Python. Develop and optimize complex queries, stored procedures, and data transformation logic for both structured and semi-structured data. Architect and manage relational (e.g., PostgreSQL, Oracle, MySQL) and NoSQL (e.g., MongoDB, Cassandra) database systems. Ensure data integrity, performance tuning, and security across database environments. Collaborate with data scientists, data engineers, and product teams to integrate data into analytical and operational systems. Implement data modeling best practices and contribute to the database schema design process. Troubleshoot and resolve database-related issues, ensuring high availability and reliability. Participate in the evaluation of new technologies and make recommendations for future growth and scalability. Mandatory Skills & Experience: 5+ years of experience as a Database Engineer, Data Engineer, or similar role. Strong expertise in Apache Spark for large-scale data processing. Proficiency in Python and Scala for building data-driven applications and tools. Advanced knowledge of SQL, data modeling, indexing, and query optimization. Hands-on experience with distributed databases and big data ecosystems. Experience in working with ETL/ELT processes and building data ingestion pipelines. Deep understanding of database performance tuning, backup & recovery, and replication strategies. Preferred Qualifications: Experience with cloud platforms like AWS, GCP, or Azure. Familiarity with Delta Lake, Hadoop, or Kafka. Knowledge of CI/CD pipelines, data versioning, or DevOps for data.