Teradata Engineer Hybrid - Atlanta GA
Teradata Engineer Hybrid - Atlanta GA
Posted on :
29-10-2024
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Monthly Salary
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Salary Not Disclosed
Posted on :
29-10-2024
Job Description
Teradata Engineer
Contract: 6 Months
Location: Hybrid: 23 Days Onsite in Atlanta GA
Job Description:
The Opportunity: The Senior Data Engineer will lead the Enterprise Data Services team is responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders. Youll leverage cloudbased infrastructure to implement technology solutions that are scalable resilient and efficient. You will collaborate with Data Engineers Data Analysts DBAs crossfunctional teams and business leaders. Using Agile methodology you will architect design implement and operate data engineering solutions that empower users to make informed business decisions.
Candidate: You are selfmotivated work independently and have direct experience with all aspects of the software development lifecycle from design to deployment. You have a deep understanding of the full life data lifecycle and the role that highquality data plays across applications machine learning business analytics and reporting. Strong candidates will exhibit solid critical thinking skills the ability to synthesize complex problems and a talent for transforming data to create solutions that add value to a myriad of business requirements.
You have the demonstrated ability to lead and take ownership of assigned technical projects in a fastpaced environment. Excellent written and speaking communication skills are required as we work in a collaborative crossfunctional environment and interact with the full spectrum of business divisions. You demonstrate unsatiated curiosity and outstanding interpersonal soft skills. Ideal candidates have more than just knowledge or skill set as they also have a can do mindset to find solutions.
You have demonstrated the ability to serve as a liaison with business users and walk with them through their problems to identify the best path forward. You are also expected to provide technical counsel to other Data Engineers on the team and may be requested to review and guide their work to ensure all the work comes together successfully to meet the business needs.
Preferred Qualifications:
Bachelor of Science degree in Computer Science or equivalent
Vantage Master 2.0 certifications / Vantage Data Science Master certifications
At least 7 years of postdegree professional experience
At least 5 years of Airline industry experience
4 years of development experience building and maintaining ETL pipelines
3 years of experience working with database technologies and data development such as Python PLSQL etc.
Experience in mentoring junior team members through code reviews and recommending adherence to best practices
Deep understanding of writing test cases to ensure data quality reliability and a high level of confidence
Track record of advancing new technologies to improve data quality and reliability
Continuously improve quality efficiency and scalability of data pipelines
Expert skills working with queries/applications including performance tuning utilizing indexes and materialized views to improve query performance
Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency frequency etc.)
Develop initial queries for profiling data validating analysis testing assumptions driving data quality assessment specifications and defining a path to deployment
Familiar with best practices for data ingestion and data design
Key Responsibilities and Skillets:
Database Management ETL Development have used tools like Teradata Utilities (e.g. BTEQ FastLoad MultiLoad TPT etc.) Data Modeling DB Performance Tuning Data Security & Governance Cloud Integration and Management Cloud Infrastructure Automation and DevOps Data Warehousing and Analytics Security and Compliance
Indepth knowledge of Teradata architecture and components (e.g. AMP Nodes Parsing Engines etc.).
Proficiency in Teradata SQL and Teradata utilities.
Strong SQL skills for querying and managing relational databases.
Scripting experience (e.g. Shell Python) for automating tasks.
Knowledge of query optimization techniques indexing partitioning and workload management in Teradata.
Proficiency with core AWS services: EC2 S3 RDS Lambda CloudWatch CloudFormation etc.
Familiarity with AWS storage options such as S3 EFS and Glacier in the context of largescale data storage and retrieval.
Knowledge of AWS services that enhance Teradata performance such as using S3 for staging data or integrating with Redshift for analytics.
Handson experience with AWS CloudFormation Terraform or similar tools for automating infrastructure deployment.
Proficiency in automating ETL pipelines and data processing workflows using AWS Lambda Step Functions or AWS Glue.
Employment Type
Full Time
Key Skills
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