Overview
On Site
$60 - $70
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
snowflake
sql
python
spark
aws
glue
big data
Job Details
Position: Lead Data Engineer
Location: Jersey City, NJ (Onsite)
Duration: Long Term
Client: EXL
Must Haves:Snowflake, SQL, Python, Spark, AWS- Glue,Big Data Concepts
Must have:
- 10+ years of relevant experienceinData Engineeringand delivery.
- 10+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations.
- Strong experience with SQL, python and Pyspark
- Good understanding of Data ingestion and data processing frameworks
- Good experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture)
- Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership asappropriate.
- Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production environment.
- Experience working in Agile Methodology
Good to have:
Have experience in DevOps tools (Jenkins, GIT etc.) and practices, continuous integration, and delivery (CI/CD) pipelines.
Worked on cloud implementations, data migration, Data Vault 2.0, etc.
Requirements:
- Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer, with a focus on AWS and Snowflake.
- Strong understanding of data warehousing concepts and best practices.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Experience in the insurance industry, preferably with knowledge of claims and loss processes.
- Proficiency in SQL, Python, and other relevant programming languages.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and as part of a team in a fast-paced environment.
Preferred Qualifications:
- Experience with data modeling and ETL processes.
- Familiarity with data governance and data security practices.
Best Regards,
Rakesh Sharma
E-mail:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.