Lead Data Engineer
Location: McKinney, TX
Duration: 6+ Months
MOI: Skype
LINKEDIN IS MUST.
MUST HAVE:
Top Skills' Details:
- SQL
- Python
- AWS (Serverless Services - Lambda, Glue, Athena, DynamoDB, DMS, etc.)
- Redshift
Job Description
- Data Engineer is responsible for bringing data from various sources within the organization into Client Data Lake and Warehouse.
- We are looking for a person who will be working in a fast-paced environment using cloud technologies to develop a scalable data platform that will support years of company growth.
- Will be supporting the buildout of their Integrated Data Marketplace Foundations.
- Large portion of work will be landing data sources in Redshift.
- The Data Engineer builds and maintains scalable data pipelines for both batch and real-time processing in AWS cloud-computing environment.
- The Data Engineer Developer builds and supports complex ETL processes to transfer data securely between different environments.
- The Data Engineer Interacts face-to-face with project stakeholders, develop cooperative relationships, and acquire domain knowledge of the business.
- The Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well working with cross-functional teams for root cause analysis.
- Data Engineer participates in design and analysis sessions with Architects and Technical Leads to come up with appropriate solutions.
- The Data Engineer supports all phases of Software development life cycle including requirements definition, development, testing, implementation and production support.
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Vicky, istaffx
Mon, 18 Dec, 23:39 (11 hours ago)
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From:
Vicky,
istaffx
vicky@istaffx.com
Reply to: vicky@istaffx.com
Key Required Skills:
Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics.
Position Description:
- Collaborate with Solution & Enterprise Architects, Business analysts, DBAs and others to understand business requirements.
- Provide suggestions and guidance to different MI/BI projects, based on best practices, optimal solutions, and project standards will be expected.
- Lead complex discussions and engagements that may involve multiple project teams from client.
Skills Requirements:
Basic Qualifications:
- Bachelor's or master's degree in a training related field or 8 years of experience in lieu of a degree.
- Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics.
- Strong working experience with SQL and other databases (i.e., DB2 and Oracle)
- Strong working experience with BI Development (i.e., Tableau and other BI tools)
- Strong working experience with ETL development and methodologies.
Required Skills:
- Strong oral and written communication skills and ability to communicate with all levels within the organization
- Strong data analysis and problem-solving skills
- Team
- Strong interpersonal skills with ability to collaborate with others effectively and efficiently
- Ability to negotiate and compromise to convince internal and external parties to accept concepts, practices, and approaches of the area
Desired Skills:
- Database development skills
- Familiarity with data modeling (Erwin data modeler)
- Enterprise Data Catalog experience (Informatica)
Benefits include:
- Comprehensive medical, dental, vision, life, and short & long-term disability insurance + health savings account
- Matching 401k retirement plan + IRA's and Roth IRA's
- Generous paid time off and paid holidays
- Employee recruitment/referral bonus
- Paid community service hours
- Tuition reimbursement
- Employee discounts