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Azure Data Engineer at Kanak Elite Services Inc Weehawken, NJ

Job in Weehawken, Hudson County, New Jersey, 07086, USA
Listing for: Selecto Vinos
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    Database Engineering, SQL Developer, Azure
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Azure Data Engineer job at Kanak Elite Services Inc. Weehawken, NJ.

Role: AZURE DATA ENGINEER

Location:
Weehawken, NJ - 5 days onsite (Need Local Candidates from NY, NJ)

Client:
Infosys/UBS
Need PP no. as well !!

Duration: 12 Months

Experience:
Need 10+ Years experience

Job Details

We are seeking a skilled Azure Data Factory Engineer/Developer with strong PostgreSQL knowledge to design, develop, and maintain data pipelines for extracting, transforming, and loading (ETL) data from various sources, including PostgreSQL databases, into Azure data platforms.

  • Design, Develop, and Maintain ADF Pipelines:
    • Design, develop, and maintain robust and efficient ADF pipelines for data ingestion, transformation, and loading from PostgreSQL databases and other sources.
    • Optimize ADF pipelines for performance, scalability, and reliability.
    • Develop and implement data quality checks and validation rules within ADF pipelines.
  • PostgreSQL Expertise:
    • Proficiently use SQL to query, manipulate, and extract data from PostgreSQL databases.
    • Understand PostgreSQL database architecture, performance tuning, and best practices.
    • Troubleshoot and resolve issues related to PostgreSQL connectivity, performance, and data integrity.
  • Data Integration and Transformation:
    • Design and implement data transformation logic within ADF pipelines, leveraging various ADF activities and connectors.
    • Develop and maintain data mappings and transformations to ensure data consistency and quality.
    • Collaborate with data engineers and business stakeholders to understand data requirements and implement solutions.
  • Monitoring and Optimization:
    • Monitor the performance and health of ADF pipelines and PostgreSQL databases.
    • Identify and resolve performance bottlenecks and data quality issues.
    • Implement and maintain monitoring and alerting mechanisms for ADF pipelines and PostgreSQL databases.
  • Skills:
  • Azure Data Factory (ADF):
    Strong experience in designing, developing, and maintaining ADF pipelines.
  • PostgreSQL:
    Extensive knowledge of PostgreSQL database architecture, SQL, and performance tuning.
  • SQL:
    Proficient in writing and optimizing SQL queries.
  • Data Modeling:
    Experience in designing and implementing data models.
  • ETL/Data Integration:
    Experience with ETL processes and data integration tools.
  • Cloud Computing:
    Familiarity with Azure cloud services and technologies.
  • Problem-Solving:
    Strong analytical and problem-solving skills.
  • Communication:
    Excellent communication and collaboration skills.
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