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Mongo Data Engineer
Must Have Technical/Functional Skills
1. NoSQL Development (Mandatory):
- 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).
2. 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.
3. 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.
4. 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
Location
Irving, TX
Job Function
TECHNOLOGY
Role
Engineer
Job Id
416194
Desired Skills
Mongo DB
Salary Range
$90,000-$110,000 a year
Desired Candidate Profile
Qualifications : BACHELOR OF COMPUTER SCIENCE
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