Kafka/Spark Developer

CGI

$70K — $156K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in Big Data development or data engineering.
  • Strong hands-on experience with Apache Kafka and streaming applications.
  • Proficient in Java, Scala, or Python (PySpark) with strong OOP skills.
  • Experience writing and optimizing SQL queries with Impala or Hive.
  • Familiarity with Hadoop ecosystem components such as HDFS and Hive.
  • Experience in Agile development environments with a collaborative approach.

Responsibilities

  • Develop and maintain scalable big data solutions using Kafka, Spark, and Hadoop.
  • Design and optimize batch and real-time data pipelines for data processing.
  • Create Spark applications for data transformation and analytical processing.
  • Build and maintain Kafka producers, consumers, and streaming workflows.
  • Monitor and troubleshoot Kafka and Spark streaming jobs for performance.
  • Collaborate with technical teams to implement modern data platforms.
  • Analyze user requirements and define technical project scopes.

Benefits

  • Competitive compensation from the first day of employment.
  • Comprehensive insurance options available.
  • 401(k) plan with matching contributions.
  • Paid time off for vacation, holidays, and sick time.
  • Paid parental leave for employees.
  • Opportunities for learning and tuition assistance.
  • Wellness and well-being programs for staff.
Full Job Description
Kafka/Spark Developer

Category: Software Development/ Engineering

Main location: United States, Pennsylvania, Pittsburgh

Position ID:J0626-0634

Employment Type: Full Time

Position Description:

CGI is looking for mid level Kafka and Spark Software Developers 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 Kafka Spark Software developers, you will be responsible for developing and maintaining scalable big data solutions using Hadoop, Spark, Kafka, and Impala to support enterprise data processing and analytics initiatives.
. Design, build, and optimize batch and real-time data pipelines for ingesting, processing, transforming, and delivering large volumes of structured and unstructured data.
. Develop Spark applications using PySpark, Scala, or Java for data transformation, aggregation, cleansing, and analytical processing.
. Build and maintain Kafka producers, consumers, topics, and streaming workflows to enable reliable real-time data ingestion and event-driven architectures.
. Design and implement logical and physical data models to support data warehousing, reporting, analytics, and business intelligence requirements.
. Monitor, troubleshoot, and tune Kafka and Spark streaming jobs to improve performance, scalability, and operational reliability.
. Optimize Hadoop ecosystem components, Spark jobs, Kafka configurations, and Impala queries to improve system performance and resource utilization.
. 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 5+ years of experience in Big Data development, data engineering, or distributed data processing environments.
. 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.
. Proficiency in writing and optimizing complex SQL queries using Impala, Hive, or similar distributed query engines.
. Hands-on experience with Hadoop ecosystem components including HDFS, Hive
. 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.
#LI-SG2
#DICE
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.
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)
  • Impala
  • Oracle
  • Oracle RBDMS Audit
  • Postgre SQL
  • Python
  • SQL

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