Data Engineer
2 months ago
Title: Data Engineer
Location: Richardson, TX (Hybrid)
Duration: 06+ Months (Possibility of FTE)
Qualifications:
Bachelor's degree (BA/BS) in a related field such as
information systems, mathematics, or computer science.
Typically has 6 years of relevant work experience.
Consideration given to equivalent combination of education and experience.
Excellent written and verbal communication skills.
Strong organizational and analytical skills.
Expertise in Data Extraction, Transformation, Loading,
Data Analysis, Data Profiling, and SQL Tuning.
Expertise in Relational & Dimensional Databases in
engines like SQL Server, Postgres, Oracle...
Strong experience in designing and developing
enterprise scale data warehouse systems using Snowflake.
Strong expertise in designing and developing reusable
and scalable Data products with data quality scores and integrity checks.
Strong expertise in developing end to end complex data
workflows using Data ingestion tools such as Snaplogic, ADF, Matallion
etc.
Experience with cloud platforms AWS / Azure cloud
technologies, Agile methodologies and DevOps is a big plus.
Experience in architecting cloud native solutions
across multiple B2B and B2B2C data domains.
Experience in architecture of modern APIs for the
secure sharing of data across internal application components as well as
external technology partners.
Experience in Data orchestration tools like Apache
Airflow, Chronos with Mesos cluster etc.
Expertise in designing and developing data
transformation models in DBT.
Comparing and analyzing provided statistical
information to identify patterns, relationships, and problems; and using
this information to design conceptual and logical data models and
flowcharts to present to management.
Experience with developing CICD pipelines in Jenkins
or Azure DevOps.
Knowledge of Python for data manipulation and
automation.
Knowledge of data governance frameworks and best
practices.
Knowledge in integrating with source code versioning
tools like Git Hub.
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