Job description
Job Title : Senior Data Engineer
Location : Remote
Duration : Full-Time
What are the 3-4 non-negotiable requirements of this position?
-Python -AWS (Build data pipeline in AWS environment, Foundational AWS services (s3, VPC, IAM). and Programming in AWS) -Snowflake or Redshift -Data Integration tool – PySpark or Glue
Minimum Experience:
Minimum of 4 years of experience in building data driven solutions.
Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. CSS does not offer H-1B sponsorship for this position.
Specialized Knowledge & Skills:
Expertise in real-time data solutions, good to have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools.
Strong scripting experience using Python
Working knowledge of foundational AWS compute, storage, networking and IAM.
AWS scripting experience using lambda functions and knowledge of CloudFormation is nice to have.
Hands on experience with popular cloud-based data warehouse platforms, viz. Redshift, Snowflake.
Experience with one or more data integration tools viz. Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc.
Strong understanding of data security – authorization, authentication, encryption, and network security.
Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services
Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables.
Demonstrated experience in data management with a strong understanding of process re/design.
Strong communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts.
Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions.
Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions.
Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance/reliability, and ongoing management & follow-up for action items.
Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures.
Job Type: Full-time
Schedule:
- 8 hour shift
Experience:
- data engineer: 8 years (Required)
- snowflake: 5 years (Required)
- Python: 5 years (Required)
- AWS: 5 years (Required)
- QlikView: 5 years (Required)
Work Location: Remote
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