Big Data Developer

Team Lead | Sr. Career Advisor at Maxima Tek | Helping Professionals Navigate Career Journeys & Land Full-Time Opportunities

Maxima Tek partners with top-tier companies to connect exceptional recent graduates and experienced professionals (0-5 years) with high-impact, full-time engineering roles. We specialize in placing talent where it can truly thrive, with a strong focus on Big Data Engineering, Distributed Computing, and Cloud Data Warehousing. Our expertise and network help us place candidates in environments where they can excel and develop their careers.

We are actively seeking motivated individuals for Entry-Level and Mid-Level full-time Big Data Developer positions. Responsibilities focus on designing, building, and maintaining scalable systems that process massive datasets. This includes developing distributed computing applications, building robust ETL pipelines, and ensuring the reliability and performance of data-intensive systems across cloud and on-premise environments.

• Education: Hold a Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a similar quantitative discipline (Required).
• Experience: Possess 0-5 years of relevant work experience or dedicated project experience in software development, data engineering, or large-scale data processing.
• Technical Skills (Required):
• Solid proficiency in Hadoop Ecosystem components (HDFS, Map Reduce, YARN, Hive).
• Strong experience with Apache Spark (using PySpark, Scala, or Java) for distributed processing.
• Expertise in writing complex SQL queries and working with No
  
  SQL databases (e.g., Mongo
  
  DB, Cassandra, or HBase).
• Familiarity with the Software Development Life Cycle (SDLC) and Agile methodologies.
• Preferred Skills (Big Data Specific):
• Experience with data ingestion tools like Apache Kafka, Flume, or Sqoop
  .
• Knowledge of workflow orchestration tools like Apache Airflow or Oozie.
• Hands‑on experience with cloud data platforms like AWS (EMR/Glue), Azure (HDInsight/Databricks), or GCP (Data Proc).
• Familiarity with version control tools like Git and containerization (Docker/Kubernetes).
• Certifications:
  Cloudera Certified Professional
  , Google Professional Data Engineer
  , or AWS Certified Data Analytics is a strong plus.

• Targeted Placement: Direct, high-volume marketing of your profile to our extensive network of hiring managers specializing in Big Data Analytics, Enterprise Data Platforms, and Digital Transformation.
• Expert Resume Rebuild: Personalized refinement of your resume to make it competitive and optimized for the Big Data and Data Engineering ecosystem.
• Career Guidance: Dedicated support and guidance to help you navigate technical coding challenges and data‑architecture interview panels.

Email your updated resume to:

• Entry level

• Full-time

• Consulting

• IT Services and IT Consulting

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