Data Engineer_12+ yrs Exp must_Only xoriant W2_MUST Skills- Expert in Python & Code Review
Posted 1 day ago by 1763640266
Negotiable
Outside
Remote
USA
Summary: The Data Engineer role at Xoriant is focused on analyzing models, code, and scripts to identify compliance risks while ensuring functionality and developing a scoring framework for script reviews. The position requires conducting technical evaluations and supporting reviews for analytical models. Candidates should have a strong background in data engineering, particularly with SQL and Python, and familiarity with various ETL technologies and cloud platforms. Effective communication and problem-solving skills are essential for success in this role.
Key Responsibilities:
- Analyze models, code, and scripts to identify potential compliance risks.
- Ensure scripts function according to their intended purpose.
- Develop a scoring framework for prioritizing script reviews.
- Conduct technical evaluations including code, design, and architecture assessments.
- Support reviews for analytical models.
Key Skills:
- Data Engineering
- Python
- SQL
- Code Review
- Script compliance risk
- Apache Spark/Apache Kafka/Talend
- AWS/Azure/Google Cloud Platform
- Data modeling
- 3-5 years of experience in data engineering
- Strong problem-solving abilities
- Effective communication skills
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.
Title: Data Engineer
Location: Remote
Duration: 6 Months+
Must Skills: Data Engineer, Python, SQL, Code Review, Script , compliant risk, Apache Spark/ Apache Kafka/Talend, AWS/Azure/Google Cloud Platform , Data modelling
Pay: only Xoriant W2
This role focuses on analyzing models, code, and scripts to identify potential compliance risks. You will ensure that scripts function according to their intended purpose and develop a scoring framework to determine which scripts require the highest-priority reviews. The position also includes conducting technical evaluations such as code, design, and architecture assessments and supporting similar reviews for analytical models.
The ideal candidate has 3 5 years of experience in data engineering, strong skills in SQL and Python/Pyspark, and familiarity with ETL technologies like Spark, Kafka, or Talend. Experience with major cloud platforms (AWS, Azure, Google Cloud Platform), relational databases, and data modeling principles is required. Strong problem-solving abilities and effective communication skills are essential for success in this role.