Data Engineer Job at Connvertex Technologies Inc., Jersey City, NJ

  • Connvertex Technologies Inc.
  • Jersey City, NJ

Job Description

Position Summary:-

We are seeking a skilled Data Engineer to design, develop, and support modern data platforms and pipelines that power analytics, reporting, and AI-driven solutions.

The ideal candidate will have strong expertise in Snowflake, Python, SQL, AWS, Oracle, and Apache Airflow , with exposure to AI/Generative AI technologies .

Responsibilities
  • Design, build, and maintain scalable ETL/ELT data pipelines using Python and SQL.
  • Develop and optimize data solutions in Snowflake, including data modeling, performance tuning, and automation.
  • Integrate and transform data from Oracle, APIs, AWS services, and other enterprise systems.
  • Build and manage workflow orchestration using Apache Airflow.
  • Develop cloud-native data solutions utilizing AWS services such as S3, Glue, Lambda, and ECS/EKS.
  • Ensure data quality, reliability, security, and governance across the data platform.
  • Support AI and analytics initiatives by preparing datasets and building pipelines for ML and Generative AI use cases.
  • Collaborate closely with architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • 5+ years of experience in Data Engineering or Data Platform development.
  • Strong hands-on expertise in:
    • Snowflake
    • SQL (Advanced)
    • Python (Advanced)
    • AWS
    • Oracle
    • Apache Airflow
  • Experience designing and supporting enterprise-scale data pipelines and data warehouses.
  • Strong understanding of data modeling, performance optimization, and cloud-based data architectures.
  • Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Snowpark, Streams, Tasks, and Dynamic Tables.
  • Exposure to AI/ML, Generative AI, RAG architectures, or vector databases.
  • Experience with Spark, Kafka, or Databricks.
  • SnowPro and/or AWS certifications.
  • Experience in financial services or capital markets environments.

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