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Mongo Data Engineer
Tata Consultancy Services
- Irving, Texas, United States
- Irving, Texas, United States
Über
Mandatory 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. 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). Strong experience with Snowflake Data Cloud development, including DDL/DML, stored procedures, UDFs, and performance optimization. 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. 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. Proven ability to diagnose and resolve database performance issues across relational and NoSQL environments, expertise in query optimization, index tuning, partitioning strategies, database configuration, and familiarity with database monitoring tools. 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, deadline management, managing unexpected changes. Salary Range
$90,000 to $110,000 per year Qualifications
BACHELOR OF COMPUTER SCIENCE
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Sprachkenntnisse
- English
Hinweis für Nutzer
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