Data Engineer

3 days ago

Richardson, United States The Judge Group Full time

Our client is currently seeking a Data Engineer, it is a hybrid role with 3 days onsite in a week.
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 is given to the 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.
Responsibilities:
Plan & analyze, develops,
maintains, and enhances client systems as well as support systems of
moderate to high complexity.
Participates in the design,
specification, implementation, and maintenance of systems.
Designs, codes, tests, and documents
software programs of moderate complexity as per the requirement
specifications.
Design, develop, and maintain
scalable data pipelines using Snowflake, dbt, Snaplogic and ETL tools.
Participates in design reviews and
technical briefings for specific applications.
Integrate data from various sources,
ensuring consistency, accuracy, and reliability.
Develop and manage ETL/ELT processes
to support data warehousing and analytics.
Assists in preparation of requirement
specifications, Analyzing the data, design and develop data driven
applications including documenting and revising user procedures and/or
manuals.
Involved with resolution of Medium to
severe complexity software development issues that may arise in a
production environment.
Utilize Python for data manipulation,
automation, and integration tasks.
Assemble large, complex data sets
that meet functional / non-functional business requirements. Identify,
design, and implement internal process improvements: automating manual
processes, optimizing data delivery, re-designing infrastructure for
greater scalability
Build the infrastructure required for
optimal extraction, transformation, and loading of data from a wide
variety of data sources using SQL Server, PostgreSQL, SSIS, T-SQL, PL/SQL
Work with stakeholders including the
Product, Data, Design, Frontend and Backend teams to assist with
data-related technical issues and support their data infrastructure needs
Write complex SQL, T-SQL, PL/SQL
queries, stored procedures, functions, cursors in SQL Server and
PostgreSQL. Peer review other team members code
Analyze the long running
queries/functions/procures, design and develop performance optimization
strategy.
Create and manage SSIS packages
and/or Informatica to perform day to day ETL activities. Use variety of
strategies for complex data transformations using an ETL tool
Perform DBA activities like
maintaining the systems health and performance tuning, manage database
access, deployments to higher environments, on-call support, shell
scripting and python scripting is a plus
Participate in employing the
Continuous Deliver and Continuous Deployment (CI/CD) tools for optimal
productivity.
Collaborate with scrum team members
during daily standup and actively engage in sprint refinement, planning,
review and retrospective.
Analyzes, reviews, and alters program
to increase operating efficiency or adapt to new requirements
Writes documentation to describe
program development, logic, coding, and corrections.

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