WE ARE
SoftServe is a global digital service and consulting company founded in 1993. We work on 2,000+ projects with clients in the USA, Europe, APAC, and LATAM regions.
The client is a technology company that operates in the field of human resources (HR) and employee engagement. The mission is to help organizations create more human and positive workplaces by focusing on employee recognition, performance management, and employee engagement.
IF YOU ARE
- Experienced in big data engineering with a strong focus on AWS services and technologies
- Proficient in Python for data processing and manipulation
- Skilled in AWS services including S3, Lambda, SQS, OpenSearch, Kendra, Textract, and Bedrock
- Knowledgeable in dbt for data transformation and containerization
- Familiar with end-to-end chatbot applications based on client documents in different formats
- Strong in AWS infrastructure, pipelines, Bedrock integration, and UI
- Proficient in SQL with experience in Redshift or Spark SQL for querying and optimization
- Excellent at problem-solving and troubleshooting complex data pipeline issues
- Strong in communication and collaboration, working effectively in a cross-functional team environment
- Comfortable with data visualization tools such as QuickSight (would be a plus)
AND YOU WANT TO
- Design, develop, and maintain robust data ingestion pipelines using AWS services such as Glue, Airflow/MWAA, and Airbyte
- Ensure efficient and reliable data transfer from various sources to the data warehouse
- Lead efforts in migrating data and services across AWS accounts while ensuring minimal downtime and maintaining data integrity
- Collaborate with cross-functional teams to smoothly execute migration plans
- Implement and manage access control mechanisms for Redshift and QuickSight
- Ensure data security and compliance with industry standards while developing IAM policies and roles to enforce least privilege access
- Utilize Terraform to automate the provisioning and management of AWS infrastructure components such as S3 buckets, EMR clusters, and Redshift clusters, implementing infrastructure-as-code practices to achieve scalability and repeatability
- Work closely with data engineers and analysts to integrate SQL-based technologies like dbt modeling and Python/PySpark scripts into data pipelines, ensuring seamless integration and compatibility across the tech stack
TOGETHER WE WILL
- Collaborate with a highly skilled team of data professionals in a fast-paced and innovative environment
- Enhance your expertise in advanced data analytics, BI, and cloud-based data solutions
- Enjoy 25 paid days off during the year
- Have a consistent monthly Edenred Benefit budget
- Use our access to expert communities, paid certifications, and professional events
- Benefit from SoftServe University and have access to over 10,000 learning options from Udemy
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.
