Data Engineering Specialist

Department Icon Data Science Analytics & Machine Learning
Posted: 1 week ago
2-5 years
Yerwada, Pune, Maharashtra, India
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 4 Jan 2027

Posted: 1 week ago
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Job Description

Job Requirements
  • ·       Design and develop robust data ingestion and ETL pipelines for batch and workflow-based processing requirements.
  • ·       Build, optimize, and maintain data processing solutions using Apache Spark, PySpark, and Apache NiFi.
  • ·       Develop, schedule, monitor, and manage workflows in Apache Airflow to ensure reliable orchestration.
  • ·       Work on the Cloudera Data Engineering platform and the broader Hadoop ecosystem, including HDFS and Hive.
  • ·       Write efficient Hive SQL and Python code for data transformation, validation, and operational automation.
  • ·       Support, troubleshoot, and optimize production data pipelines for performance, reliability, and scalability.
  • ·       Collaborate with data architects, analysts, platform teams, and business stakeholders to understand requirements and deliver data solutions.
  • ·       Follow engineering best practices for code quality, version control, documentation, deployment, and monitoring.


Work Experience
  • ·       8+ years of relevant experience in data engineering, big data platforms, and production pipeline delivery.
  • ·       Strong hands-on experience in designing data pipelines using NiFi, Spark/PySpark, Hive SQL, and Python.
  • ·       Good understanding of Hadoop concepts, HDFS storage patterns, data partitioning, and distributed processing.
  • ·       Experience managing Airflow DAGs, dependencies, retries, monitoring, and failure handling.
  • ·       Ability to identify pipeline bottlenecks and perform performance tuning across ingestion, transformation, and orchestration layers.
  • Strong problem-solving mindset with the ability to support critical production workloads.


Skills

Apache SparkApache PysparkApache NifiHive SqlPythonApache AirflowHadoopApache HiveHadoop ClouderaHdfsSqlApache HadoopDistributed ProcessingData TransformationData Validation

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About Company

For more than 20 years, QuEST is a trusted global engineering services and solutions partner to many of the world's most recognized Fortune 500 companies in Aero Engines, Aerospace & Defense, Automotive, Medical Devices, Oil & Gas, Power, Industrial, Rail, Semiconductor, Consumer Electronics and Software & Internet. With global presence in 13 countries, 65 locations and 12000+ employees, QuEST is at the forefront of the convergence of Mechanical, Electronics, Software and Digital Services to engineer solutions for a safer, cleaner world. QuEST’s deep domain knowledge and digital expertise accelerate product development and innovation cycles, create alternate revenue streams, enhance consumer experience and make manufacturing processes and operations more efficient.

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