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Job Location

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- USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2539320
Job Title: Senior Data Engineer. Location: Princeton NJ Hybrid
Duration: 12 Months
Role Summary:

We are seeking a highly skilled and experienced Senior Data Engineer to lead our data engineering initiatives enhancing our data infrastructure analytics and reporting capabilities. The ideal candidate will bring a passion for technology a deep understanding of data architectures and a track record of developing and deploying comprehensive data solutions in complex environments.

Key Responsibilities:
  • Design build and maintain scalable and robust data pipelines to support advanced analytics and data reporting.
  • Develop and optimize data models and database designs for OLTP and OLAP systems ensuring high performance and availability.
  • Implement and manage data warehousing solutions with a focus on Amazon Redshift to meet evolving business requirements.
  • Create complex dashboards and reports using tools like Power BI and SSRS providing actionable insights to business stakeholders.
  • Write advanced SQL PL/SQL stored procedures functions and scripts for data manipulation integration and analytics.
  • Ensure data quality and integrity through effective data management practices and implement strategies for data acquisition storage and retrieval.
  • Collaborate with crossfunctional teams in agile environments to define data requirements deliverables and timelines.
  • Lead the adoption of cloud computing services particularly AWS to enhance data infrastructure and analytics capabilities.
  • Provide technical leadership and mentorship to junior data engineers and team members.
Required Skills and Experience:
  • Bachelors degree in Engineering Computer Science or related field. Masters degree preferred.
  • Over 11 years of professional experience in data engineering business intelligence and software development.
  • Proficient in SQL PL/SQL TSQL and shell scripting with a strong foundation in database concepts and normalization techniques.
  • Extensive experience with AWS services particularly EC2 S3 RDS IAM CloudWatch EBS Redshift and CloudFront.
  • Expertise in data warehousing solutions ETL processes and BI tools such as Power BI and SSRS.
  • Strong knowledge of Oracle (10g 11g 19c) MS SQL Server PostgreSQL and NoSQL databases.
  • Familiarity with web technologies IIS and version control tools like Git and Visual SourceSafe.
  • Proficient in agile methodologies with excellent analytical problemsolving and communication skills.

Employment Type

Full Time

Company Industry

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala
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