Chief Data Architect

1 day ago

Gandhinagar, Gujarat, India beBeeData Full time ₹ 18,00,000 - ₹ 25,00,000

Job Overview

We are seeking a skilled Data Specialist to lead data-driven initiatives and support scalable pipelines.

Key Responsibilities

  • Design, build, and optimize complex data architectures and ETL workflows.
  • Manage and process large datasets using advanced tools like Spark, PySpark, and SQL.
  • Develop real-time streaming applications with Spark Streaming/Kafka.
  • Collaborate with cross-functional teams to integrate AI/ML models into production.
  • Ensure data quality, scalability, and performance in all pipelines.
  • Deploy and manage Spark workloads on cloud platforms (AWS, Azure, GCP, Databricks).
  • Automate testing and deployment of Spark jobs via CI/CD pipelines.

Requirements

  • Bachelor's/Master's degree in Computer Science, Engineering, or related field.
  • Minimum 4 years of professional experience as a Data Engineer.
  • Strong expertise in Python, Spark, PySpark.
  • Hands-on experience with Spark SQL, DataFrames, UDFs, DAG execution.
  • Knowledge of data ingestion tools (Kafka, Flume, Kinesis) and data formats (Parquet, Avro, ORC).
  • Proficiency in Airflow/Prefect for scheduling and orchestration.
  • Familiarity with performance tuning in Spark (partitioning, caching, broadcast joins).
  • Experience deploying on Databricks, AWS EMR, Azure HDInsight, or GCP Dataproc.
  • Exposure to testing and CI/CD for data pipelines (pytest, Jenkins, GitHub Actions).

Benefits

This role offers opportunities for growth and collaboration in a dynamic team environment. The ideal candidate will possess a strong passion for data engineering and a commitment to delivering high-quality solutions.

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