Data Engineer // C2C // Remote to Start // Atlanta, GA

Hello All,

Please find the below requirement details

 

Position: Data Engineer

Location: Atlanta, GA – Remote to Start then Onsite

Duration: 6 Months

Rate: $65/Hr. on C2C

Visa: No sponsored visas

 

Notes: (Remove this before you share)

This role will be remote for now, but eventually they want someone who is willing to relocate to Atlanta. Open to seeing all candidates, but the manager is hoping to convert this permanent and the client is unable to provide sponsorship.

 

 

Required Skills

Amazon Web Services (AWS) Expertise in AWS services including S3, EC2, SQS, EMR, and Lambda Must be able to build out data lakes

 

Job Description

Data Engineer in the data engineering program delivering a ground up data lake build. This role will be responsible for hands-on delivery work of data engineering designs and implementations aligned to best practices and consistently implemented providing business value. The Data Engineer is required to possess proven expertise and development skill in data engineering including modern cloud data lake ingestion, migration, management, and consumption patterns enabling analytics solution development and delivery across the enterprise at scale.

 

Responsibilities:

Engineering and software development skills in the delivery of full data lifecycle frameworks and patterns including data acquisition, migration, storage, transformation, prep, and consumption to support a ground up Enterprise Data Lake build for use in analytics solutions at different maturity levels between data science and operational teams

Hands-on data engineering design and implementations including data ingestion, data models, data structures, data storage, high-throughput data processing, data pipelines, and data monitoring at scale

Follow data engineering best practices with considerations for high data availability, computational efficiency, cost, and quality

Build and maintain environments, processes, functionalities, and tools to improve all stages of data lake implementation and analytics solution development, e.g., proof of concepts, prototypes, and production

Deliver capability for repeatable, configuration driven automation throughout the data lifecycle based on designated approaches

Maintain awareness of relevant technology trends and product updates (i.e. AWS Services)

Skills implementing general IT concepts, strategies, methodologies, modern application and data engineering architectures and approaches including cloud, streaming, event based, IoT data, and edge server capability

Write complex programs, enabling automation in cloud environments

Implement configuration driven, reusable, automation frameworks consistent with designed approaches

Apply DevOps best practices, CI/CD processes and tools, testing frameworks

Optimize data solutions for multi-petabyte data systems in batch, streaming, and event approaches

Work with agile methodologies, cross-functional teams (Product Owners, Scrum Masters, Developers, Test Engineers), backlog grooming, and tooling

Ensure alignment and best practices for data governance

 

 

 

 

Qualifications

3+ years of professional experience in data engineering related roles - full software development lifecycle, DBA, data architect, data engineer

1+ years specific experience in modern data engineering and cloud data practices including various data lake ingestion techniques, ETL/ELT, consumption, and operations

Working experience in data analytics (data wrangling, mining, integration, analysis, visualization, data modeling, analysis/analytics, and reporting) using BI (Business Intelligence) tools

Expertise in AWS services including S3, EC2, SQS, EMR, Lambda, Step Functions, Terraform, Glue, Redshift, Athena, DynamoDB, Cloudwatch, and IAM; Programming background and ability to utilize a variety of software/languages/tools, e.g., Python, Scala, Java, Spark, Hive, SQL; Linux including Korn shell, scripting, and regex

Degree in Computer Science or equivalent work experience

 

 

--

Thanks & Regards, Ranjith Dandabathini  Account Manager - Apex Account

Phone: (209) 392-5335 Email: Ranjith@imcsgroup.net 9901 East Valley Ranch Parkway Suite 3020 Irving, Texas – 75063

Disclaimer

This electronic mail (including any attachments) may contain information that is privileged, confidential, and/or otherwise protected from disclosure to anyone other than its intended recipient(s). Any dissemination or use of this electronic mail or its contents (including any attachments) by persons other than the intended recipient(s) is strictly prohibited. If you have received this message in error, please notify us immediately by reply e-mail or e-mail unsubscribe@imcsgroup.net so that we may correct our internal records. Please then delete the original message (including any attachments) in its entirety. Thank you