Hexaware Technologies | Snowflake Data Engineer | chicago, il
2 days ago
What Working at Hexaware offers:
Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.
Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.
With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware’s commitment towards creating smiles.
“At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.”
We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion—the driving force that makes one smile and innovate, create, and make a difference every day.
The Hexaware Advantage: Your Workplace Benefits
- Excellent Health benefits with low-cost employee premium.
- Wide range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage
- Unlimited training and upskilling opportunities through Udemy and Hexavarsity.
Role - Snowflake Data Engineer
Location - Chicago, IL (Hybrid, 3 days office in a week)
Job Type - Fulltime only
Job Description:
Mandatory skills: Snowflake, Airflow, Kafka, SQL
10+ IT Experience:
Around 7+ years of experience in snowflake
Excellent in DQH concepts
Designing data pipelines: Data engineers design, build, and maintain data pipelines to ingest data from sources like databases, cloud storage, or streaming platforms
Good experience in Data models
Building data architecture: Data engineers plan, create, and maintain data architectures that are aligned with business needs
Collecting data: Data engineers obtain data from suitable sources before working on the database
Identifying patterns and creating models: Data engineers use descriptive data models to extract historically relevant insight from data
Data engineers analyze data and identify manual tasks that can be automated to reduce manual effort
Data engineers collaborate with teams to meet data analysis needs
Experience on Data security and Optimizing data retrieval
Excellent experience/exposure to writing complex SQL
Develop automated data pipelines and data stores in Snowflake: including designing, implementing, testing, debugging, and deploying.
Build metadata driven solutions that are reusable and highly configurable.
Automate testing and deployment in Snowflake across Azure and AWS.
Partner with business analysts to groom and implement stories.
Work on an agile team to quickly iterate and release solutions.
Provide technical advice and assist end-users in solving problems
Excellent communication skills
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