Technical Lead - Informatica

Hybrid in Charlotte, NC, US • Posted 3 days ago • Updated 3 days ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Informatica
  • Scala
  • Spark
  • Agile
  • Data Integration
  • Hadoop
  • Exadata
  • Oracle
  • SQL
  • UNIX Shell Scripting
  • Autosys
  • Oozie

Summary

Role: Technical Lead - Informatica

Location: Chalotte, NC and Jersey City, NJ (3 Day onsite/Week)

Full Time Position

 

Job Description:

Development and implementation of data integration solutions involving Informatica and Hadoop.

Should be able to lead multiple projects concurrently each with competing deadlines.

Should be knowledgeable in Treasury Payments and Deposits domains.

Serves as a fully seasoned/proficient technical resource; provides technical knowledge and capabilities as team member and individual contributor.

Typically 5-7 or more years of data delivery/integration experience

Works under minimal supervision

Has the knowledge of Hadoop Spark/Spark Streaming best practices and standards as well as standard software development lifecycle experience.

Must have an understanding of our ability to quickly grasp technology concepts

Solid quantitative, analytical, process development, facilitation skills, and organizational skills required

Strong communication, presentation, interpersonal, software development and work management skills are essential

Coordinate with deployment and support teams and ensure projects are successfully deployed into testing and Production environments.

Development experience using Agile process

Experience in designing, developing and deploying Real time and Near real time  batch data integration solutions

Work with people in different time zones  teams

 

Required Skill:

Informatica

Very good understanding of Hadoop components, architecture  tool sets.

Spark and Scala.

Must have Architected, developed  implemented solutions using real time streaming technologies (Spark Streaming/Kafka).

At least 3 years hands on experience in Scala.

Minimum 3 years of hands-on experience in Spark.

Good knowledge of spark configurations and Spark/Scala performance tuning.

Strong working knowledge on Hive, Impala, Oozie.

Experience working with Exadata  Oracle SQL Tuning.

Experience developing Streaming/Near Real time and Batch data integration solutions.

Hands on experience in UNIX Shell Scripting.

Working experience in scheduling jobs with Autosys. 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10214351
  • Position Id: 8914603
  • Posted 3 days ago
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