Data Engineer

CSM Technologies Pvt. Ltd.; Snowflake (AZ); On-site; USD 80,000 - 110,000; Full time

Job summary

A leading technology firm is seeking a skilled data professional in Snowflake, Arizona. The candidate should have strong SQL skills and experience in ETL processes, along with a good understanding of data modeling concepts. Responsibilities include translating business needs into data models and supporting data architecture direction.

Qualifications

• Strong hands-on experience in SQL and Snowflake (mandatory).
• Expertise in ETL/ELT processes and data pipeline development.
• Good understanding of data modeling concepts – Star Schema, Snowflake Schema.

Responsibilities

• Understand and translate business needs into data models supporting long-term solutions.
• Assist with setting the data architecture direction.
• Analyze data-related system integration challenges and propose solutions.

Skills

SQL

Snowflake

ETL/ELT processes

Data pipeline development

Data modeling concepts

Azure services

Big Data tools

Job description

Strong hands-on experience in SQL and Snowflake (mandatory)

Proficient in writing complex joins, CTEs, and performance-tuned queries

Expertise in ETL/ELT processes and data pipeline development

Good understanding of data modeling concepts – Star Schema, Snowflake Schema

Working knowledge of Azure services (ADF, Synapse, Blob Storage, etc.)

Exposure to Big Data tools and technologies

Sound understanding of data structures and data analysis techniques

Ability to implement end-to-end data solutions – ingestion, storage, processing

Strong SQL skills for data validation, profiling, and analysis

Experience in E2E application testing, validation, and verification

Capable of understanding business requirements and delivering data solutions accordingly

Candidate Profile

Understand and translate business needs into data models supporting long-term solutions.

Perform reverse engineering of physical data models from databases and SQL scripts.

Analyze data-related system integration challenges and propose appropriate solutions.

Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value)

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