Key Responsibilities

●      10+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations.

●      Lead the design and implementation of data-driven solutions across the enterprise.

●      Expertise in agile application development with a focus on MongoDB.

●      Design, implement, and manage MongoDB architecture, including configuration, upgrades, scaling, and troubleshooting.

●      Administer high-availability setups using MongoDB replica sets, sharding, and other techniques.

●      Optimize database performance through advanced query tuning, indexing strategies, and schema design.

●      Monitor database health and usage using advanced monitoring tools and generate usage reports.

●      Collaborate with cross-functional teams to align technology strategy with business objectives.

●      Mentor and support junior engineers, fostering a culture of continuous learning.

●      Ensure data systems are scalable, maintainable, and secure.

●      Drive improvements in processes, technologies, and systems architecture.

●      Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production environment.

 Essential Skills & Experience:

●      Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

●      Strong proficiency in data architecture, design patterns, and best practices. Strong experience with NoSQL, MongoDB.

●      Proven ability to design scalable, real-time data applications.

●      Good understanding of Data ingestion and data processing frameworks.

●      Good experience in AWS (glue, EMR, S3, Aurora, RDS, AWS architecture).

●      Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership.

●      Excellent communication and coordination skills.

Must have modern, recent experience with MongoDB in a data engineering capacity.