Kafka/Spark Software Development Lead -

CGI

$70K — $156K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years' experience in large-scale distributed data processing and streaming applications.
  • Strong hands-on experience with Apache Kafka, including configuration and development.
  • Extensive experience with Apache Spark Streaming or Spark Structured Streaming.
  • Proficient in Java, Scala, or Python (PySpark) with strong OOP skills.
  • Good understanding of distributed systems and message-oriented middleware.

Responsibilities

  • Design and develop scalable real-time data streaming solutions using Kafka and Spark.
  • Build and enhance Kafka producers and consumers for reliable data ingestion.
  • Develop and optimize Spark Streaming applications for data transformation and analytics.
  • Integrate Kafka and Spark with data lakes and enterprise applications.
  • Implement and maintain highly available streaming pipelines with recovery mechanisms.
  • Monitor and tune Kafka and Spark jobs for performance and reliability.
  • Collaborate with stakeholders to design modern event-driven data platforms.

Benefits

  • Competitive compensation package.
  • Comprehensive insurance options from day one.
  • 401(k) matching contributions.
  • Paid time off, including vacation and sick leave.
  • Paid parental leave for new parents.
  • Learning opportunities and tuition assistance.
  • Wellness and well-being programs.
Full Job Description
Kafka/Spark Software Development Lead -

Category: Software Development/ Engineering

Main location: United States, Pennsylvania, Pittsburgh

Position ID:J0626-0212

Employment Type: Full Time

Position Description:

CGI is looking for an experienced Kafka and Spark Software Development Lead to join our Applications Development and Maintenance team, supporting our client which is a large US Bank, working in an advanced technology environment.
This role will require someone at our client site 5 days a week in Pittsburgh, PA.
Duties and Responsibilities:
. As a Kafka Spark Software development Lead, you will be responsible for designing and developing scalable real-time data streaming solutions using Apache Kafka and Spark Structured Streaming to support enterprise-wide data processing and analytics initiatives
. Build and enhance Kafka producers, consumers, topics, and event-driven architectures to enable reliable, high-throughput data ingestion across multiple platforms.
. Develop and optimize Spark Streaming applications for real-time data transformation, aggregation, enrichment, and analytics to meet evolving business requirements.
. Integrate Kafka and Spark with data lakes, data warehouses, databases, APIs, and enterprise applications to facilitate seamless data movement and processing.
. Implement and maintain highly available streaming pipelines using checkpointing, replication, schema management, and recovery mechanisms.
. Monitor, troubleshoot, and tune Kafka and Spark streaming jobs to improve performance, scalability, and operational reliability.
. Collaborate with architects, data engineers, DevOps teams, and business stakeholders to design and implement modern streaming and event-driven data platforms.
. Analyzing user requirements, and defines technical project scope and assumptions for assigned tasks.
. Creating technical designs for new systems, and/or modifications to existing systems.
. Translating detailed requirements into functional system designs.
. Prioritizing work, meeting deadline and also establishing and maintaining effective working relationships with clients, project team members, supervisors, and employees from other departments.
. Partner with business leaders, enterprise architects, and product owners to identify new graph-based use cases, evaluate emerging technologies, and align Neo4j initiatives with digital transformation goals.

Requirements:
At least 8+ years of experience in designing, developing, and supporting large-scale distributed data processing and streaming applications.
. Strong hands-on experience with Apache Kafka, topic configuration, producer/consumer development, Kafka Connect, and Schema Registry.
. Extensive experience developing real-time data processing applications using Apache Spark Streaming and/or Spark Structured Streaming.
. Proficiency in Java, Scala, or Python (PySpark) with strong object-oriented programming and software development skills.
. Strong understanding of distributed systems, message-oriented middleware, data partitioning, fault tolerance, and scalability concepts.
. Experience integrating Kafka and Spark with relational databases, NoSQL databases, cloud storage platforms, and enterprise applications.
. Strong analytical, troubleshooting, and performance tuning skills in distributed streaming environments.
. Excellent communication, collaboration, and stakeholder management skills, with the ability to work effectively in Agile/Scrum teams.
. Experience working in Agile development environments with strong collaboration, technical leadership, problem-solving, and stakeholder communication skills.

Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $70,800.00 - $156,700.00.

#LI-SG2
#DICE
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well-being programs

Skills:
  • Agile
  • Apache Kafka
  • Apache Spark
  • Hadoop Ecosystem (HDFS)
  • Oracle
  • Python
  • Scala
  • SQL
  • Postgre SQL

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