[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Irving, TX # Mongo Data Engineer Irving, TX $90,000 to $110,000 per year Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/416194J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Mongo Data Engineer ## Job description Must Have Technical/Functional Skills ### Mandatory hands-on experience with MongoDB - Designing schemas, writing complex queries, performing aggregations, and optimizing performance within MongoDB environments. - Developing data patches and data migrations (including DDLs/DMLs) using Python scripts - Understanding of NoSQL data modeling patterns and principles (e.g., document-oriented, key-value). - Familiarity with other NoSQL database types and their use cases (e.g., Cassandra, DynamoDB, Redis) is a plus. ### PL/SQL Proficiency (Mandatory) - Extensive experience in developing, debugging, and optimizing complex stored procedures, functions, triggers, and packages using PL/SQL. - Strong understanding of relational database concepts, including normalization, indexing, and referential integrity. - Experience with a major relational database system (e.g., Oracle, PostgreSQL, SQL Server). - Data Platforms ### Snowflake (Must Have) - Strong experience with Snowflake Data Cloud development, including DDL/DML, stored procedures, UDFs, and performance optimization within Snowflake. - Understanding of Snowflake's architecture (compute, storage, cloud services) and features (e.g., Virtual Warehouses, Zero-Copy Clones, Time Travel, Streams, Tasks). - Experience with data loading/unloading into and out of Snowflake. ### Apache Iceberg (Preferred) - Practical experience with Apache Iceberg for managing large, high-performance data sets in open table formats. - Understanding of Iceberg's key features, such as schema evolution, hidden partitioning, time travel, and manifest files. - Experience integrating Iceberg with query engines (e.g., Spark, Presto, Trino) or data lakes. - Performance Tuning (Must Have) - Proven ability to diagnose and resolve database performance issues across relational and NoSQL environments. - Expertise in query optimization (e.g., analyzing execution plans, rewriting inefficient queries). - Experience with index tuning, partitioning strategies, and database configuration for optimal performance. - Familiarity with database monitoring tools and techniques. - Programming and Scripting ### Python (Must Have) - Experience with Python for database automation, scripting, data processing, and API integrations. - Familiarity with relevant Python libraries for database connectivity (e.g., psycopg2, pymongo, - snowflake-connector-python). Roles & Responsibilities - Work on DB design, development and migration for complex high volume applications in financial domain - Work on writing ETL/ELT pipelines and scripts - Work on data modelling and developing real time data processing capabilities - Query performance tuning and optimization techniques - Identify and troubleshoot DB issues based on feedback - Track the project status, issues, risks and updates timely with senior leadership. - Programming of software applications, Project management, Consulting techniques, - Project management methods, Deadline management, Managing unexpected changes Salary Range: $90,000 to $110,000 per year