Azure Data Engineer (Hybrid/Onsite/F2F)

GSPANN Technologies, Inc.; Fremont (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive benefits

Educational assistance

Career growth opportunities

Job summary

GSPANN Technologies, Inc. in Fremont, CA is seeking an Azure Data Engineer to join our hybrid long-term engagement.

You will design and implement data pipelines, models, and warehousing solutions across Azure, AWS, and other cloud platforms, leveraging Databricks, Spark, and SQL. The ideal candidate has 10+ years in data engineering, deep SQL expertise, and hands-on experience with modern cloud data platforms and ETL/ELT tools.

Qualifications

• Min 5 years of experience in modern data engineering, data warehousing, and data lakes on cloud platforms.
• 10+ years of proven SQL experience; schema design and dimensional modelling required.
• Experience with ETL/ELT tools and data warehousing tech like Azure Synapse, Azure SQL, Redshift, Snowflake, BigQuery.
• Strong PySpark/Spark SQL and Databricks experience.
• Excellent communication and teamwork.

Skills

SQL

Dimensional data modelling

Data warehousing

ETL/ELT

Python

PySpark

Spark

Big data

Communication

Tools

ADF

Informatica

Talend

Azure Synapse

Azure SQL

Redshift

Snowflake

BigQuery

Databricks

Spark SQL

Job description

About GSPANN

Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a boutique consultancy with capabilities of a large IT services firm.

Azure Data Engineer

Location: Fremont, CA (Hybrid). Job Type: Long Term.

Interview Mode: Video Hands on Interview on SQL, Python, Pyspark.. Azure, Azure Databricks, Fabric, ADLS/ADF etc.

12-15 Years IT Experience and 10 plus in Data Engineering space.

Must Have Skills

• Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, Google Cloud Platform, Data Bricks etc. Azure experience is preferred over other cloud platforms.
• 10 + years of proven experience with SQL, schema design and dimensional data modelling. Hands on experience in SQL is a MUST.
• Solid knowledge of data warehouse best practices, development standards and methodologies
• Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc..
• Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL.
• Be an independent self-learner with "let's get this done" approach and ability to work in Fast paced and Dynamic environment.
• Excellent communication and teamwork abilities.

work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry.

The company does and will take an affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans, and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disability.