Luxoft Singapore Hiring! Full Time Junior Data Engineer (Snowflake - SQL - LLM - Langchain)) in - Ricebowl

Project Description:

• We are seeking a highly skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities

:Data Infrastructure Development

• :Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL
• .Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability
• .Optimize data storage and retrieval performance in Snowflake

.
Data Manipulation and Transformatio

• n:Perform complex data manipulation and transformation using SQL to prepare data for analysis and reportin
• g.Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistenc
• y.Develop and maintain reusable SQL scripts and stored procedures for data processin

g.
Collaboration and Suppo

• rt:Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their nee
• ds.Provide technical guidance and mentorship to junior data engineers and other team membe
• rs.Work closely with IT and DevOps teams to ensure seamless data integration and deployme

nt.
Data Layer Preparat

• ion:Design and build data layers to support various analytical and reporting ne
• eds.Ensure data layers are well-documented, easily accessible, and perform
• ant.Implement data governance and security best practices to protect sensitive informat
• ion.Performance Tuning and Optimizat

ion:
Monitor and optimize the performance of data pipelines, databases, and que

• ries.Identify and resolve performance bottlenecks to ensure timely and efficient data proces
• sing.Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastruc

ture.
Mandatory Skills Descri

• ption:Bachelor's degree in Computer Science, Information Technology, Engineering, or a related
• fieldMinimum of 1-2 years of experience in data engineering, with a strong focus on SQL and data manipul
• ation.Proven experience working with Snowflake or other cloud-based data warehousing solu
• tions.Experience with T
• ableauStrong background in designing data model and building scalable data pipelines and data m
• odels.Solid understanding of financial instruments, investment operations, investment reporting and portfolio management con
• cepts.Knowledge of investment performance measurement, risk analysis, and portfolio management co
• nceptsExpert-level proficiency in SQL, with the ability to write complex queries and optimize them for perfor
• mance.Strong experience with ETL tools and proc
• esses.Familiarity with T
• ableauKnowledge of data governance, security, and compliance best prac
• tices.Excellent problem-solving and analytical s
• kills.Strong communication and collaboration s

kills.
Nice-to-Have Skills Descr

• iption:Familiarity with Qlikview, Ql
• iksenseFamiliarity with programming languages such as