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**Data Engineer**
**FT Direct hiring with benefits**
**Hybrid role**
**Role and Responsibility:**
- Strong
experience in building Azure Data engineering solutions using as Azure Data
factory, Databricks, Azure Data Lake and Azure SQL Database.
- Hands of
Experience in SSAS including Designing partitions, relationships, DAX query
Tuning
- Hands on
experience on automating Data Quality check for SSAS Cube vs sources
- Hands on
Experience on taking care multiple sources which flows in system at different
point of time throughout the day.
- Understanding
of Big Data platform like Hadoop , Spark internals.
- Developed
Spark applications using Pyspark and Spark-SQL for data
extraction, transformation, and aggregation from multiple file formats for
analyzing & transforming
- Used
Databrick notebooks to analyze and process the data from Data Lake into Azure
SQL database based on business requirements.
- Experience
with Spark (Databricks or Synapse) or Modern Data Architectures such as
Modern Data Warehouse and Data Mesh.
- Knowledge
of Microsoft Azure cloud or other similar public cloud platforms.
- Hands-on
experience from design through implementation of large-scale distributed data
systems, setting examples for good data engineering practices, Continuous
Integration/Continuous Deployment (CI/CD) and coding along the way.
- Possess
problem solving, technical, and data analysis skills.
- Good
communication skills and teamwork and comfort with agile software
development.
resume to me at: harneet.sapra@sogeti.com
**Thebenefits our employees enjoy:**
Competitive Salary
401(k) Savings Plan- Matched 150% up to 6%.
Medical, dental and vision benefits
100% Company-paid mobile phone plan
3 weeks Personal Time Off (PTO) and 7 Paid Holidays
Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Full Time
$124k-155k (estimate)
04/27/2024
05/11/2024
capgemini.com
ROSEMONT, IL
>50,000
1967
RAYMOND J SPENCER
$1B - $3B
IT Outsourcing & Consulting
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative worl ...
d of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of 16 billion. Get the Future You Want | www.capgemini.com
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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.