Engineer

3 weeks ago


tamil nadu, India NielsenIQ Full time
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™.
NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com.
Job Title: Mid-Level Java Engineer with Apache Spark Experience
Engineer - REFID323515
Chennai, India
We are seeking a talented Mid-Level Java Engineer with hands-on experience in Apache Spark to join our growing team. As part of our team, you will work on developing and optimizing data processing pipelines and scalable applications using Java and Apache Spark. The ideal candidate should have a strong foundation in Java development and a proven track record of leveraging Apache Spark for big data processing tasks.
Responsibilities:
Design, develop, and optimize data processing pipelines using Java and Apache Spark.
Collaborate with data engineers and data scientists to understand requirements and implement efficient solutions.
Write clean, efficient, and maintainable code following best practices and coding standards.
Performance tuning and optimization of Spark jobs to ensure scalability and reliability.
Develop unit tests and participate in code reviews to ensure software quality.
Work closely with cross-functional teams to integrate Spark components into larger applications or systems.
Stay updated on the latest developments in Apache Spark and big data technologies.
Qualifications
Bachelor's degree in computer science, Engineering, or related field.
3+ years of professional experience in Java development.
Strong understanding of data structures, algorithms, and object-oriented programming concepts.
Hands-on experience with Apache Spark, including Spark Core, Spark SQL, and Spark Streaming.
Proficiency in working with large-scale distributed systems and big data technologies.
Experience with Hadoop ecosystem components such as HDFS, YARN, and Hive is a plus.
Knowledge of software development methodologies such as Agile or Scrum.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Nice to have:
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Knowledge of other big data processing frameworks such as Pandas, Polars and Apache Kafka.
Additional information
Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
Recharge and revitalize with help of wellness plans made for you and your family.
Plan your future with financial wellness tools.
Stay relevant and upskill yourself with career development opportunities
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