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Data Engineer (AWS, Azure, GCP)
$111k-137k (estimate)
Full Time | IT Outsourcing & Consulting 1 Month Ago
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CapTech Consulting is Hiring a Data Engineer (AWS, Azure, GCP) Near Atlanta, GA

Company DescriptionCapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.Job DescriptionCapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer – Cloud position include: Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly Utilizing your skills in engineering best practices to solve complex data problems Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization. Articulating architectural differences between solution methods and the advantages/disadvantages of each QualificationsTypical experience for successful candidates includes: Experience delivering solutions on a major cloud platform Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture Experience in the design and implementation of data architecture solutions A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines Ability to assess and utilize traditional and modern architectural components required based on business needs. A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. Skills: Successful candidates usually have demonstrable experience with technologies in some of these categories: Languages: SQL, Python, Java, R, C# / C / C Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle DevOps: git, docker, subversion, Kubernetes, Jenkins Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud EngineerAdditional InformationWe want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. CapFlex – Employee-first mentality that supports a hybrid workforce and empowers daily flexibility while servicing our clientsLearning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development pathsModern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downsCarrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for careFringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and moreEmployee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operationsPhilanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellnessCapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email [email protected].At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI-LM1 #LI-hybrid

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$111k-137k (estimate)

POST DATE

03/15/2024

EXPIRATION DATE

05/13/2024

WEBSITE

captechconsulting.com

HEADQUARTERS

ATLANTA, GA

SIZE

1,000 - 3,000

FOUNDED

1997

CEO

STEVE HOLDYCH

REVENUE

<$5M

INDUSTRY

IT Outsourcing & Consulting

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The following is the career advancement route for Data Engineer (AWS, Azure, GCP) positions, which can be used as a reference in future career path planning. As a Data Engineer (AWS, Azure, GCP), 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 (AWS, Azure, GCP). You can explore the career advancement for a Data Engineer (AWS, Azure, GCP) 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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