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Snowflake, Python, Airflow Engineer at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Python, Airflow, ETL Development, Data Warehousing, SQL, PLSQL, DB2, Performance Tuning, Data Profiling, Data Analysis, Stored Procedures, Triggers, DBT, Spark, PySpark

Industry

IT Services and IT Consulting

Description

To develop ETLs, stored procedures, triggers, and views on our existing DB2-based Data Warehouse and on our new Snowflake-based Data Warehouse. To perform data profiling and technical analysis on source system data to ensure that source system data can be integrated and represented properly in our models. To monitor the performance of queries and data loads and perform tuning as necessary. To provide assistance and guidance during the QA & UAT phases to quickly confirm the validity of potential issues and to determine the root cause and best resolution of verified issues. Minimum Skills Required: * Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field required. At least 5+ years of experience in data development and solutions in highly complex data environments with large data volumes. At least 5+ years of experience developing complex ETLs with Informatica PowerCenter. * At least 5+ years of SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis. At least 5+ years of experience developing complex stored procedures, triggers, MQTs and views on IBM DB2. Experience with performance tuning DB2 tables, queries, and stored procedures. An understanding of E-R data models (conceptual, logical, and physical). Strong understanding of advanced data warehouse concepts (Factless Fact Tables, Temporal Bi-Temporal models, etc.). Experience with developing data transformations using DBT a plus. Experience with using Spark (PySpark) for data loading and complex transformations a plus. Strong analytical skills, including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions. Capable of coll

Responsibilities

Develop ETLs, stored procedures, triggers, and views on existing and new Data Warehouses. Monitor performance of queries and data loads, providing assistance during QA & UAT phases.