Job Description
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Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions tour clients world-wide. Our client is an American multinational information technology services and consulting company and is a leading provider of information technology, consulting, and business process outsourcing services, dedicated helping the world's leading companies build stronger businesses.
Job Title: Business Development - GENBDR
Location: Detroit, MI 48226
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Location: Detroit, MI 48226
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
Responsibilities
- Design, develop, and maintain end to end data pipelines batch and near real time using Snowflake, AWS services, and Python.
- Build and optimize data models in Snowflake e.g., dimensional modelling, data vault, or curated data marts for analytics and downstream consumption.
- Develop and maintain ETL/ELT workflows using Python and IBM DataStage migrate modernize workloads where applicable.
- Implement job scheduling, monitoring, and operational support using Control-M alerting, retries, SLAs, and dependency management.
- Ensure data quality, governance, lineage, and documentation standards are met across pipelines.
- Perform performance tuning and cost optimization across Snowflake and AWS query optimization, clustering, warehouse sizing, storage management.
- Partner with stakeholders Data Science AI, BI, Product, and Platform teams to enable data products and Already datasets.
- Participate in Agile ceremonies, contribute to estimation, planning, and sprint execution follow SDLC and change management processes.
- Troubleshoot production issues, perform root cause analysis, and drive preventative improvements.
Experience
- 6 to 10 Yrs.
Primary Skills
- Snowflake.
- SQL.
- AWS.
- Python.
- DBT.
- DataStage.
Secondary Skills
- AWS Glue.
- Qlik.
- Control-M.
- Airflow.
Required Technical Skills
Snowflake
- Strong expertise in Snowflake architecture.
- SQL development.
- Performance tuning.
- Security roles.
- Data loading unloading.
- Best practices.
AWS
- Hands-on experience with AWS data ecosystem commonly S3, IAM, CloudWatch plus services such as Glue, Lambda, EC2, Step Functions, EMR, or Kinesis as applicable.
Python
- Strong Python programming for data engineering ETL/ELT frameworks.
- API ingestion.
- Automation.
- Unit testing.
- Logging.
Control-M
- Experience designing and managing enterprise job scheduling.
- Dependencies.
- Calendars.
- SLAs.
- Monitoring.
- Incident handling.
IBM DataStage
- Solid experience building and maintaining DataStage jobs.
- Handling complex transformations.
- Supporting production workloads.
SQL
- Advanced SQL skills for transformations.
- Optimization.
- Data validation across large datasets.
CI/CD & Version Control
- Experience with Git.
- CI/CD practices for data pipelines.
Operational Excellence
- Monitoring.
- Alerting.
- Production support experience in a 24x7 or business critical environment.
Good to Have
- AI/ML exposure.
- Experience enabling AI/ML pipelines or feature datasets.
- Familiarity with ML lifecycle concepts.
- Feature engineering.
- MLOps tools and processes.
- Experience with data governance metadata tools and practices.
- Catalogue.
- Lineage.
- Data quality frameworks.
- Exposure to streaming or event driven architectures.
Qualifications
- Typical Bachelor's degree in Computer Science, Engineering, or related field or equivalent practical experience.
- 9 plus years of data engineering experience, including enterprise grade data platform delivery and production support.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Numbers & Facts
| Location | Detroit, MI |
| Industry | Computer/IT Services |
| Salary | $53.57 |
| Company Size | 100 to 499 employees |
| Year Founded | 2009 |
| Website | http://www.tekwissen.com/ |
About Company
WE THE TEKWISSEN PEOPLE
TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.
To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.
Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.
It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.
Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.Skills
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