Lead Data Engineer (AWS)

Jersey, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Lead Data Engineer (AWS)

Location: Jersey City NJ (Hybrid)

Job Type: Fulltime

Responsibilities:

Lead the design development and implementation of data solutions using AWS and Snowflake.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and maintain data pipelines ensuring data quality integrity and security.
Optimize data storage and retrieval processes to support data warehousing and analytics.
Provide technical leadership and mentorship to junior data engineers.
Work closely with stakeholders to gather requirements and deliver data-driven insights.
Ensure compliance with industry standards and best practices in data engineering.
Utilize knowledge of insurance particularly claims and loss to enhance data solutions.

Skills:

Snowflake expertise (hands-on & architectural understanding) challenging situation in the project(most common question)this must be data related or implementation related only
ETL/Data Management proficiency mastery in: Query optimization data quality performance tuning big data problems RBAC row/column-level security CDC Incremental vs Batch Unix commands job scheduling CI/CD pipeline
Team leadership (8-10 members) End-to-end project implementation with clarity complex challenges in the project describe the specific problem and its solution
Excellent communication skills
Stakeholder management & cross-functional collaboration (knowledge on data quality checks profiling STTM data integration from multiple sources reusable framework)
Release planning change management training KT L2/L3 support
Apache Iceberg AWS glue good to have
10 years of relevant experience in Data Engineering and 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 as appropriate.
Should be able to do coding debugging performance tuning and deploying the apps to the Production environment.
Experience working in Agile Methodology

Job Title: Lead Data Engineer (AWS) Location: Jersey City NJ (Hybrid) Job Type: Fulltime Responsibilities: Lead the design development and implementation of data solutions using AWS and Snowflake. Collaborate with cross-functional teams to understand business requirements and translate them int...

Job Title: Lead Data Engineer (AWS)

Location: Jersey City NJ (Hybrid)

Job Type: Fulltime

Responsibilities:

Lead the design development and implementation of data solutions using AWS and Snowflake.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and maintain data pipelines ensuring data quality integrity and security.
Optimize data storage and retrieval processes to support data warehousing and analytics.
Provide technical leadership and mentorship to junior data engineers.
Work closely with stakeholders to gather requirements and deliver data-driven insights.
Ensure compliance with industry standards and best practices in data engineering.
Utilize knowledge of insurance particularly claims and loss to enhance data solutions.

Skills:

Snowflake expertise (hands-on & architectural understanding) challenging situation in the project(most common question)this must be data related or implementation related only
ETL/Data Management proficiency mastery in: Query optimization data quality performance tuning big data problems RBAC row/column-level security CDC Incremental vs Batch Unix commands job scheduling CI/CD pipeline
Team leadership (8-10 members) End-to-end project implementation with clarity complex challenges in the project describe the specific problem and its solution
Excellent communication skills
Stakeholder management & cross-functional collaboration (knowledge on data quality checks profiling STTM data integration from multiple sources reusable framework)
Release planning change management training KT L2/L3 support
Apache Iceberg AWS glue good to have
10 years of relevant experience in Data Engineering and 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 as appropriate.
Should be able to do coding debugging performance tuning and deploying the apps to the Production environment.
Experience working in Agile Methodology