Description:

　　JOB DESCRIPTION;

　　Primary Job Duties and Responsibilities

　　• Collaborate with and across Agile teams to design and develop data engineering solutions by rapidly delivering value to our customers.

　　• Build distributed, low latency, reliable data pipelines ensuring high availability and timely delivery of data

　　• Design and develop highly optimized data engineering solutions for Big Data workloads to efficiently handle continuous increase in data volume and complexity

　　• Build highly performing real-time data ingestion solutions for streaming workloads.

　　• Adhere to best practices and agreed upon design patterns across all Data Engineering solutions

　　• Ensure the code is elegantly designed, efficiently coded, and effectively tuned for performance

　　• Focus on data quality and consistency, implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

　　• Create design (Data Flow Diagrams, Technical Design Specs, Source to Target Mapping documents) and test (unit/integration tests) documentation

　　• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

　　• Focus on end-to-end automation of data engineering pipelines and data validations (audit, balance controls) without any manual intervention

　　• Focus on data security and privacy by implementing proper access controls, key management, and encryption techniques.

　　• Take a proactive approach in learning new technologies, stay on top of tech trends, experimenting with new tools & technologies and educate other team members.

　　• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.

　　• Communicate clearly and effectively to technical and non-technical leadership.

　　Skills:

　　Python, pyspark, aws, cloud, data engineer, sql, data warehouse, redshift, snowflake, data, etl

　　Additional Skills & Qualifications:

　　WHAT YOU WILL NEED

　　• Experience in building Data Warehouses/Data Platforms on Redshift/Snowflake

　　• Extensive experience building real-time data processing solutions.

　　• Extensive experience building highly optimized data pipelines and data models for big data processing.

　　• Experience working with data acquisition and transformation tools such as Fivetran and DBT

　　• Experience building highly optimized & efficient data engineering pipelines using Python, PySpark, Snowpark

　　• Experience working with distributed data processing frameworks such as Apache Hadoop, or Apache Spark or Flink

　　• Experience working with real-time data streams processing using Apache Kafka, Kinesis or Flink

　　• Experience working with various AWS Services (S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, Glue Catalog)

　　• Expertise in Advanced SQL programming and SQL Performance Tuning

　　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.

　　We are an equal opportunity employers and will consider all applications without regard to race, genetic information, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. To view the EEO is the law poster click here. Applicants with disabilities that require an accommodation or assistance a position, please call 888-472-3411 or email [email protected]. This is a dedicated line designed exclusively to assist job seekers whose disability prevents them from being able to apply online. Messages left for other purposes will not receive a response.