Description:

Top Skills' Details• Strong proficiency in Terraform, SQL and Python.

• Extensive experience with AWS Cloud services such as AWS Glue, AWS Lambda, Amazon S3, Amazon Redshift, Amazon EMR, and AWS Kinesis.

• Knowledge of data warehousing and data lake concepts.

• Experience with ETL tools and frameworks.

• Understanding of data modeling and data architecture.

Key Responsibilities

• Data Integration:

o Design, develop, and maintain scalable data pipelines and ETL processes using AWS services like AWS Glue, AWS Lambda, Amazon S3, Amazon Redshift, and Amazon EMR.

o Collaborate with data architects and analysts to understand their data needs and requirements.

o Optimize data pipelines for performance, scalability, and cost-efficiency.

o Implement data quality and governance standards to ensure data integrity and accuracy.

o Develop and maintain data infrastructure, including data lakes, data warehouses, and data marts.

o Troubleshoot and resolve data-related issues.

o Define data product domains and boundaries to ensure data consistency and quality.

o Design data sharing mechanisms and APIs to enable data exchange between teams.

o Assist in migrating existing data warehouses to AWS, including planning, execution, and optimization.

o Collaborate with data engineers to design and implement data integration strategies to extract, transform, and load (ETL) data from various sources into the cloud data platform.

o Ensure that data models are compatible with data sources and target systems.

o Integrate data products with the broader data platform, including data lakes, data warehouses, and analytics tools.

o Stay up-to-date with the latest trends and technologies in data engineering.

• Performance Optimization:

o Monitor and optimize data platform performance, including query execution, data loading, and storage utilization.

o Implement best practices for indexing, partitioning, and clustering to improve query performance.

o Identify and address performance bottlenecks.

• Security and Governance:

o Implement robust security measures to protect sensitive data, including encryption, access controls, and data masking.

o Develop and enforce data governance policies to ensure data quality, consistency, and compliance with regulations.

o Implement data lineage and provenance to track data movement and transformations.

• Technical Leadership:

o Provide technical guidance and mentorship to data engineers, analysts, and scientists.

o Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.

Additional Skills Qualifications:

College Degree (4 yrs) is required

Experience Level:

Expert Level

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.