Data Analyst - Junior

ZealHire Inc.; Florida; Hybrid; USD 110,000 - 140,000; Part time

Job summary

ZealHire Inc. in Miramar, FL seeks a Data Engineer focused on data quality and pipeline modernization. You will design data quality frameworks, build ETL/ELT pipelines with Databricks, Python, and SQL, and embed validations into data ingestion.

Collaboration with architects and business stakeholders is essential for scalable solutions. The role requires 5 years in data engineering or related roles and strong skills in SQL, Python, Databricks/Spark, Oracle, and cloud data platforms.

Qualifications

• Bachelor's degree in CS/Engineering/IS or related field.
• 5 years of experience in Data Engineering or Data Quality roles.
• Strong SQL, Python, Databricks/Spark, Oracle and cloud data platforms expertise.
• Familiarity with Git and CI/CD pipelines.
• Excellent analytical and stakeholder management abilities.

Responsibilities

• Design and implement enterprise data quality frameworks and controls.
• Develop automated validation, monitoring, and exception reporting solutions.
• Measure data quality across key dimensions and partner with governance teams.
• Build and optimize ETL/ELT pipelines using Databricks, Python, and SQL.
• Embed data quality checks into ingestion and transformation processes.
• Develop reusable validation components and automated testing.
• Build CI/CD pipelines and collaborate with engineers and stakeholders.

Skills

SQL

Python

Databricks & Spark

Git & CI/CD pipelines

Cloud data platforms

PowerBI

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Databricks

Spark

PowerBI

Oracle

Cloud data platforms

Git

CI/CD pipelines

Job description

USC onlyNeed LinkedIn with pictureDL copy

Duration: 6 months +

Location: Miramar, FL - Locals

Onsite 4x a week and remote on Fridays

Notes from the call:

• Current person in the role resigned and leaving this Friday.
• 3-5 years' experience
• Must have experience with Databricks, PowerBI and SQL.
• Need to build your own PowerBI Reports.

Key Responsibilities

Data Quality

• Design and implement enterprise data quality frameworks and controls.
• Develop automated validation, monitoring, and exception reporting solutions.
• Measure and improve data quality across Accuracy, Completeness, Consistency, Validity, Integrity, Uniqueness, and Timeliness.
• Partner with Data Governance teams to operationalize data quality standards.
• Investigate and resolve complex data quality issues through root cause analysis.

Data Engineering

• Build and optimize ETL/ELT pipelines using Databricks, Python, SQL.
• Embed data quality validations into ingestion and transformation processes.
• Develop reusable validation components and automated testing frameworks.
• Support cloud data platforms and modernization initiatives.

DevOps & Collaboration

• Build and maintain CI/CD pipelines and Git-based deployment processes.
• Collaborate with engineers, architects, analysts, and business stakeholders.
• Translate business requirements into scalable technical solutions.
• Present findings and recommendations to technical and business audiences.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5years of experience in Data Engineering, Data Quality Engineering, or related roles.
• Strong expertise in:
  • o SQL
  • o Python
  • o Databricks & Spark
  • o Oracle and modern cloud data platforms
  • o Git and CI/CD pipelines
• Strong analytical, troubleshooting, and root cause analysis skills.
• Excellent communication and stakeholder management abilities.

$000,000 – $000,000 Salary range is not shown on the candidate portal