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Data Technologies Lead

  • ... Posted on: Feb 13, 2026
  • ... Programmers io
  • ... Chalotte, North Carolina
  • ... Salary: Not Available
  • ... Full-time

Data Technologies Lead   

Job Title :

Data Technologies Lead

Job Type :

Full-time

Job Location :

Chalotte North Carolina United States

Remote :

No

Jobcon Logo Job Description :

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.

Jobcon Logo Position Details

Posted:

Feb 13, 2026

Employment:

Full-time

Salary:

Not Available

City:

Chalotte

Job Origin:

CIEPAL_ORGANIC_FEED

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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.

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