Master Data Architect

2 weeks ago

Nashik, Maharashtra, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000
Job Description

We are seeking an experienced data engineer to lead the design, development, and deployment of scalable data pipelines using Scala and Apache Spark (Databricks).

  • The successful candidate will develop and maintain data processing workflows using PySpark and Python.

Key Responsibilities
  1. Design and implement scalable data pipelines using Scala and Apache Spark (Databricks).
  2. Develop and maintain data processing workflows using PySpark and Python.
  3. Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions.
  4. Architect and implement data ingestion, transformation, and integration solutions for structured and unstructured data.
  5. Optimize Spark jobs for performance and cost efficiency on cloud platforms.
Required Skills and Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10+ years of professional experience in data engineering.
  • Strong hands-on programming experience in Scala, with a deep understanding of functional programming concepts.
  • Extensive experience with Apache Spark, including Spark SQL, Spark Streaming, and optimization techniques.
  • Proficiency in Python and PySpark for data processing tasks.
  • Experience working with Databricks or similar cloud-based Spark platforms.
  • Solid understanding of distributed computing, big data architectures, and data modeling.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with data storage technologies like HDFS, S3, Delta Lake, and relational/non-relational databases.
  • Strong leadership skills with experience leading and mentoring engineering teams.
  • Excellent problem-solving, communication, and collaboration skills.
Benefits

  • Opportunity to work on challenging projects that drive business growth.
  • Collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.
Leadership Experience

  • Leading and mentoring engineering teams.
  • Establishing and enforcing data engineering standards, code reviews, and documentation.
  • Troubleshooting and resolving complex data pipeline issues.
  • Staying current with emerging technologies and recommending improvements to existing data infrastructure.

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