Urgent C2C hiring for Sr. Data Engineer in TX

Role : Sr. Data Engineer
Work Location with ZIP: Austin-TX-78753
Would you require the candidates to meet you for an in-person interview?: No
Is Skype/WebEx interview, OK?: Yes
Is remote work an option?: No
If remote work, please indicate how many days are required to be in
the office and remote: 3 days in a week required to be in the office
Chance to be perm?: Yes

Performance Expectations:

Technical Hiring Criteria (Must Haves)
• Top 3 Required skills: Spark, Scala, SQL
• Years of experience in each of the must-have skills: 7+ Years
• Any Certifications required: No

We are seeking a highly experienced Engineer to join our team and own
the development of a Tiered data architecture for our data. In this
role, they would be responsible for crafting and building a
comprehensive data architecture that will enable seamless data
integration and enable the delivery of high-quality insights to our
leadership and business stakeholders.Skills
Required : Apache Spark, SQL, git, Programing Language (Python, Java, Scala)
Nice to have : Understanding of Design Patterns, Able to discuss
tradeoffs between RDBMS vs Distributed StorageKey Qualifications
– Proven experience in data engineering, data architecture, or a related field
– Experience in building and deploying tiered data architecture for
analytics data is a plus

– Strong understanding of data modeling, data warehousing, and ETL concepts
– Proficiency in SQL and experience with at least one major data
analytics platform, such as Hadoop or Spark
– Experience with data orchestration tools like Airflow is a nice to have
– Excellent problem-solving and analytical skills, and the ability to
work well under tight deadlines
– Excellent interpersonal skills and the ability to collaborate
effectively with cross-functional teamsDescription
– Design and implement a tiered data architecture that integrates
analytics data from multiple sources in an efficient and effective
manner.
– Develop data models and mapping rules to transform raw data into
actionable insights and reports.
– Collaborate with the analytics and business teams to understand
their requirements and deliver solutions that meet their needs.
– Ensure data quality and accuracy by developing data validation and
reconciliation processes.

– Play an active role in the development and maintenance of user
documentation, including data models, mapping rules, and data
dictionaries.
– Collaborate with multi-functional teams to define and implement data
governance policies and standards.
– Stay informed about the latest developments in data analytics and
data management technologies and recommend new tools and methodologies
to improve the semantic layer.