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Data Engineer (Hybrid)
Dematic Atlanta, GA
$113k-139k (estimate)
Other | Durable Manufacturing 2 Months Ago
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Dematic is Hiring a Data Engineer (Hybrid) Near Atlanta, GA

What we offer: What We Offer: Career Development Competitive Compensation and Benefits Pay Transparency Global Opportunities Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The base pay range for this role is estimated to be $65,000.00 - $140,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge and skills. #LI-SJ1 Tasks and Qualifications: What We Are Looking For: Responsibilities Design, develop, and maintain scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources into data lakes and data warehouses. Design and develop microservices to Collaborate with data scientists, analysts, and cross functional teams to design data models, database schemas and data storage solutions. Implement data integration and data quality processes to ensure the accuracy and reliability of data for analytics and reporting. Optimize data storage, processing, and querying performance for large-scale datasets. Enable advanced analytics and machine learning capabilities on the data platform. Continuously monitor and improve data quality and data governance practices. Stay up to date with the latest data engineering trends, technologies, and best practices. Requirements Bachelor’s degree in computer science, Engineering, or a related field. 5 of proven experience in data engineering, data warehousing, and ETL processes. Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka and Presto. Solid experience with table formats such as Apache Iceberg or Delta Lake. Design and development experience with batch and real time streaming infrastructure and workloads. Solid experience with data lineage, data quality and data observability. Solid experience designing and developing microservices and distributed architecture. Hands-on experience with cloud-based data platforms (e.g., AWS, Azure, GCP) preferably GCP and data Lakehouse architectures. Strong understanding of data modeling, data architecture, and data governance principles. Excellent experience with DataOps principles and test automation. Familiarity with data processing and querying using distributed systems and NoSQL databases. Ability to optimize and tune data processing and storage for performance and cost-efficiency. Excellent problem-solving skills and the ability to work on complex data engineering challenges. Strong communication and collaboration skills to work effectively with cross-functional teams. Previous experience mentoring and guiding junior data engineers is a plus. Relevant certifications in data engineering or cloud technologies are desirable. Nice to have: Experience working in a Data Mesh architecture. NOTE: Applicants must be authorized to work for any employer in the US. This position is not eligible for an employment visa sponsorship. If you want to be part of keeping the world moving, the KION Group is the right place. Across more than 100 countries worldwide, our solutions improve the flow of material and information within factories, warehouses, and distribution centers. KION´s success is based on our 41,000 committed international employees. With our international brands Linde Material Handling, STILL and Baoli and the regional brands Fenwick, and OM, the KION Group represents the highest possible level of technology and service expertise in the area of forklifts and warehouse technology. Dematic with its automated material handling solutions improve the intralogistics processes in warehouses, production and distribution. We offer interesting jobs and exciting international career opportunities, both in our regional and global operating units and in our overarching group functions within an innovative, forward-looking and fast-growing sector. Our culture is driven by our corporate values: Integrity, Collaboration, Courage and Excellence.

Job Summary

JOB TYPE

Other

INDUSTRY

Durable Manufacturing

SALARY

$113k-139k (estimate)

POST DATE

02/01/2024

EXPIRATION DATE

04/27/2024

WEBSITE

dematic.com

HEADQUARTERS

ATLANTA, GA

SIZE

1,000 - 3,000

FOUNDED

1819

TYPE

Private

CEO

HASAN DANDASHLY

REVENUE

$500M - $1B

INDUSTRY

Durable Manufacturing

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About Dematic

Dematic provides automated material handling solutions for eCommerce, apparel, grocery, healthcare, food and beverage sectors.

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The job skills required for Data Engineer (Hybrid) include SQL, Python, Data Engineering, AWS, Computer Science, Machine Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer (Hybrid). 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 (Hybrid). 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 (Hybrid) positions, which can be used as a reference in future career path planning. As a Data Engineer (Hybrid), 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 (Hybrid). You can explore the career advancement for a Data Engineer (Hybrid) 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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