The Role
Supports enterprise data lake pipelines through data sourcing, profiling, cleansing, validation, SQL development, ETL/ELT transformations, documentation, and troubleshooting. Collaborates with engineering, architecture, product, and offshore teams while preparing quality datasets for AI and analytics initiatives.
Summary Generated by Built In
The Expertise You Have
- 3-5 years of experience
in data engineering, data analysis, software engineering, internships, or
related projects.
- Bachelor’s degree in
Computer Science, Engineering, Information Systems, Data Analytics, or a
related field.
- Basic understanding of
databases and SQL.
- Interest in cloud
technologies, AI, and machine learning.
The Skills You Bring
- Working knowledge of SQL
and database fundamentals.
- Understanding of data
quality, data transformation, and ETL/ELT concepts.
- Exposure to Snowflake,
PostgreSQL, Oracle, DynamoDB, AWS, or similar platforms.
- Strong analytical and
problem-solving skills.
- Effective written and
verbal communication skills.
- Ability to work
harmoniously in Agile teams.
- Curiosity,
self-motivation, and willingness to learn.
The Value You Deliver
- Support development and
maintenance of Enterprise Data Lake (EDL) pipelines.
- Assist with data
sourcing, profiling, cleansing, and validation activities.
- Develop and maintain SQL
queries and data transformations.
- Document data flows,
requirements, and technical designs.
- Support AI and analytics
initiatives by preparing quality datasets.
- Collaborate with
engineers, architects, product owners, and offshore teams.
- Monitor and troubleshoot
data pipeline issues.
Preferred Qualifications
- Internship or project
experience using SQL, Python, or cloud technologies.
- Exposure to healthcare,
insurance, or financial services data.
- Experience with
reporting or visualization tools such as Power BI or Tableau.
- Strong interest in AI
and machine learning applications.
Skills Required
- 3-5 years of experience in data engineering, data analysis, software engineering, internships, or related projects
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field
- Basic understanding of databases and SQL
- Working knowledge of SQL and database fundamentals
- Understanding of data quality, data transformation, and ETL/ELT concepts
- Exposure to Snowflake, PostgreSQL, Oracle, DynamoDB, AWS, or similar platforms
- Strong analytical and problem-solving skills
- Effective written and verbal communication skills
- Ability to work harmoniously in Agile teams
- Curiosity, self-motivation, and willingness to learn
- Internship or project experience using SQL, Python, or cloud technologies
- Exposure to healthcare, insurance, or financial services data
- Experience with Power BI or Tableau
- Strong interest in AI and machine learning applications
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The Company
What We Do
CTI Consulting is a South Florida technology solutions and staffing firm founded in 1998. It provides IT staffing and nearshore staffing services for startups through Fortune 100 companies, alongside digital-product work such as designing, testing, deploying, improving, and updating mobile applications. The company emphasizes close client collaboration, comprehensive candidate evaluation, continuing education, and innovative, scalable software solutions that improve operational efficiency.
