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Data Engineer
$109k-136k (estimate)
Full Time 8 Months Ago
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Novelis Corporate HQ is Hiring a Data Engineer Near Atlanta, GA

Position Overview

The Novelis Corporate Digital team is seeking a Data Engineer. The person in this role will support the Data Services Manager. The ideal candidate will be responsible for delivery of the data pipelines feeding into machine learning models. The Data Engineer will aid in the optimization of operations by manipulating and aggregating the disparate operational and historian (L2) data sources into a format that is easily digestible by both data scientists and statistically adept colleagues. Their core responsibility will be to combine large volumes of disparate data, conduct quality checks on the data, manipulate the data and ensure continuous access to a clean format of the operational data for supporting functions and collaborators.

Novelis is the world leader in aluminum rolling and recycling, producing an estimated 19 percent of the world's flat-rolled aluminum products. We work alongside our customers to provide innovative solutions to the aerospace, beverage can, automotive and high-end specialty markets.

Headquartered in Atlanta, Georgia, USA, Novelis has approximately 13,000 employees in 33 operating facilities on four continents and is investing close to $2 billion in global expansions to meet the growing demand for our premium product.

Responsibilities & Qualifications

Responsibilities:

  • Design and Develop data ingestion pipelines and processes based on requirements in Python and PySpark
  • Build error handing, exception management and data quality routines to expose the anomalies in the data
  • Profile and analyze data to identify gaps and potential data quality issues
  • Identifies relationships between disparate data sources
  • Uses Python, Databricks and Spark to code the data Engineering routines
  • Perform unit and integration testing
  • Works with the Data Science team and business SMEs to get the requirements and present the details in data.
  • Designs and jointly develops the data architecture with data architect and ensures security and maintenance
  • Explores suitable options, designs, and builds data pipeline (data lake / data warehouses) for specific analytical solutions
  • Identifies gaps and implements solutions for data security, quality and automation of processes
  • Builds data tools and products for effort automation and easy data accessibility
  • Supports maintenance, bug fixing and performance analysis along data pipeline
  • Diagnoses existing architecture and data maturity and identifies gaps

Minimum Qualifications:

  • Minimum of Bachelor of Science BS/MS degree in Computer Science, Engineering, and/or Background in Mathematics and Statistics
  • Over 3 years of work with data engineering, IT or related field
  • Experience in data engineering & data bases/warehouses
  • Used SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL Server, Oracle etc in production environments
  • Experience with programming languages like UNIX shell scripting, Python etc.

Preferred Qualifications:

  • Certifications in Databricks, Pythod, Spark or other related subjects
  • Experience with Agile/Scrum methodology with the Product based implementation approach
  • Experience with CI/CD with DevOps frameworks
  • Experience on Big Data platforms (e.g. Hadoop, Map/Reduce, Spark, HBase, CouchDB, Hive)
  • Experience with cloud platforms (Azure, AWS, Databricks)
  • Experience with Historians (IBA, PI), Industry 4.0 or IoT environments

What We Offer:

This role offers a hybrid schedule. Novelis is committed to a Flex Work approach that empowers employees to maintain work-life balance while enjoying the benefits of a collaborative office environment.

Novelis benefits say a lot about how we care for each other. Our employees and their families have many different needs. As a result, our benefits offer choices on many levels and are high in quality, competitive in the marketplace, and affordable. These are a few of the benefits we offer to support you and your family’s well-being:

  • Medical, dental and vision insurance
  • Health savings accounts – Company Funded Health Savings Account (HSA) and Health Reimbursement Account (HRA)
  • Company-paid basic life insurance and Additional voluntary life coverage
  • Paid vacation and competitive personal time off
  • 401(k) savings plan with company match
  • Retirement savings plans – medical and prescription drug coverage through private exchange
  • Employee assistance programs – available 24/7 to you and your family
  • Wellness and Work Life Support - career development and educational assistance

Location Profile

Novelis’ Global Corporate Headquarters is located in the Buckhead neighborhood of Atlanta Georgia and employs approximately 250 people. It is co-located with Novelis’ North America regional office which employs approximately 225 people. Supporting its 24 operations worldwide Novelis’ corporate office is home to the executive leadership team and global functions that support the automotive beverage can and high-end specialties value streams. The City of Atlanta provides a diverse and family-friendly place to live with countless museums cultural organizations and educational institutions including the Georgia Aquarium Woodruff Arts Center CNN Center Georgia Tech and Mercedes-Benz Stadium. In the Atlanta area Novelis has strong community partnerships with Atlanta Habitat for Humanity GeorgiaFIRST and Agape Youth and Family Center in addition to many local museums and community groups. Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and applicants.All terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal provincial or local laws.

Job Summary

JOB TYPE

Full Time

SALARY

$109k-136k (estimate)

POST DATE

07/08/2022

EXPIRATION DATE

08/23/2024

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The job skills required for Data Engineer include SQL, Python, Data Engineering, Big Data, Computer Science, Insight, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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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.

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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.

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