Senior Big Data Solutions Architect

14 hours ago

Belgaum, Karnataka, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Data Engineer

", "Job Description", "Our company seeks a skilled data engineer to design, develop and deploy scalable data pipelines using Scala and Apache Spark (Databricks).", "", "To be successful in this role, you should have a strong background in data engineering, experience with scalable data pipelines, and proficiency in programming languages such as Scala and Python.", "The ideal candidate will lead the design, development, and deployment of data processing workflows using PySpark and Python, collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver robust data solutions.", "Additionally, you will architect and implement data ingestion, transformation, and integration solutions for structured and unstructured data.", "You will also optimize Spark jobs for performance and cost efficiency on cloud platforms and lead, mentor, and guide a team of data engineers, ensuring best practices in coding, testing, and deployment.", "Key Responsibilities:", "
  • ", "
  • Design, develop and deploy scalable data pipelines using Scala and Apache Spark (Databricks).", "
  • Develop and maintain data processing workflows using PySpark and Python.", "
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver robust data solutions.", "
  • Architect and implement data ingestion, transformation, and integration solutions for structured and unstructured data.", "
  • Optimize Spark jobs for performance and cost efficiency on cloud platforms.", "
  • Lead, mentor, and guide a team of data engineers, ensuring best practices in coding, testing, and deployment.", "
", "Required 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",

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