We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.
With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.
*You must be legally authorized to work in United State without the need of employer sponsorship, now or at any time in the future *
Job Title: Sr. AWS Data Engineer
Hybrid role in Baltimore, Maryland
We are seeking a highly skilled AWS Data Engineer with experience in Big Data and AWS technologies. This role involves developing and optimizing big data solutions ensuring scalability and efficiency.
The ideal candidate will contribute to our Asset & Wealth Management domain leveraging their expertise in Python Apache Spark and various AWS services to drive innovation and excellence.
Experience: 7 - 10 years
Required Skills: Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark
Roles & Responsibilities:
· Extract transform and load data from various sources into our data lakehouse
· Develop test maintain and document data pipelines using DBT Spark AWS Glue and Airflow
· Build data marts and data cubes to support various business intelligence initiatives
· Automate data quality checks to ensure the accuracy and consistency of our data
· Experience interacting directly with stakeholders eliciting business requirements questioning and challenging where vital
· Can articulate business needs and translate them into technology solutions
· An understanding of the asset management business andor financial markets
· Bachelor’s degree in computer science data science or a related field
· Strong proficiency in Python and SQL
· Expertise in data analysis
· Experience building a modern enterprise wide data and analytics platform
· Able to quickly learn new technologies and keep abreast of industry trends.
· Experience with data stack technologies such as Apache Airflow Prefect Dagster Apache Iceberg
· DBT Spark Phenomenal Expectations
· AWS experience particularly data services such as Glue Lake Formation EMR Event-Bridge Athena
· Experience with data warehousing such as Redshift Snowflake or Dremio
· Excellent communication and teamwork skills