Data Engineer - Informatica MDM

Data Engineer - Informatica MDM

Posted 1 week ago by Y & L Consulting Inc.

Negotiable
Undetermined
Remote
Remote

Summary: The role of Data Engineer - Informatica MDM requires a candidate with strong expertise in Informatica MDM and related modules, along with proficiency in AI technologies. The position is remote, allowing candidates to work within US CST hours. The ideal candidate will also have experience with Snowflake and various data engineering tools.

Key Responsibilities:

  • Utilize Informatica MDM (B360, P360 & R360) for data management.
  • Implement and manage Informatica (IICS Cloud) including IDMC, Data Quality, Data Governance, and MDM.
  • Work with Snowflake, including Snowpark/Snowpipe and Cortex AI.
  • Employ data engineering and analytics tools such as Python, R, and Spark.
  • Integrate real-time data using tools like Kafka.
  • Utilize NoSQL databases like MongoDB or Cosmos DB.

Key Skills:

  • Strong experience in Informatica MDM and its modules.
  • Proficiency in Informatica (IICS Cloud) and related components.
  • Experience with Snowflake and its features.
  • Familiarity with data engineering tools such as Python, R, and Spark.
  • Knowledge of real-time integration tools like Kafka.
  • Exposure to NoSQL databases.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Can be remote in US working CST hours.

Candidate must have strong experience in Informatica MDM and these modules specifically:
Informatica MDM (B360, P360 & R360).

We re looking for a strong Data Engineer with AI expertise as listed below.

  1. Strong experience in Informatica (IICS Cloud)
    1. IDMC
    2. Data Quality
    3. Data Governance
    4. MDM
    5. Clair GPT
  2. Strong Experience in Snowflake
    1. Snowpark/Snowpipe
    2. Cortex AI
    3. Snowflake BI
  3. Good experience other data Engineering or Analytics tools like Python, R, Sparck etc
  4. Realtime integration tools like Kafka
  5. Good exposure in any other data engineering tools is a plus
  6. Good exposure in any other databases like NoSql (MongoDB or Cosmos DB) etc