Technical Solution Architect

3 days ago

Greater Hyderabad Area, India Impetus Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Qualification

  • Overall 10-18 yrs. of Data Engineering experience with Minimum 4+ years of hands on experience in Databricks. Ready to travel Onsite and work at client location.
  • Proven hands-on experience as a Databricks Architect or similar role with a deep understanding of the Databricks platform and its capabilities.
  • Analyze business requirements and translate them into technical specifications for data pipelines, data lakes, and analytical processes on the Databricks platform.
  • Design and architect end-to-end data solutions, including data ingestion, storage, transformation, and presentation layers, to meet business needs and performance requirements.
  • Lead the setup, configuration, and optimization of Databricks clusters, workspaces, and jobs to ensure the platform operates efficiently and meets performance benchmarks.
  • Manage access controls and security configurations to ensure data privacy and compliance.
  • Design and implement data integration processes, ETL workflows, and data pipelines to extract, transform, and load data from various sources into the Databricks platform.
  • Optimize ETL processes to achieve high data quality and reduce latency.
  • Monitor and optimize query performance and overall platform performance to ensure efficient execution of analytical queries and data processing jobs.
  • Identify and resolve performance bottlenecks in the Databricks environment.
  • Establish and enforce best practices, standards, and guidelines for Databricks development, ensuring data quality, consistency, and maintainability.
  • Implement data governance and data lineage processes to ensure data accuracy and traceability.
  • Mentor and train team members on Databricks best practices, features, and capabilities.
  • Conduct knowledge-sharing sessions and workshops to foster a data-driven culture within the organization.
  • Will be responsible for Databricks Practice Technical/Partnership initiatives.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

Role

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
  • In depth hands-on implementation knowledge on Databricks. Delta Lake, Delta table - Managing Delta Tables, Databricks Cluster Configuration, Cluster policies.
  • Experience handling structured and unstructured datasets
  • Strong proficiency in programming languages like Python, Scala, or SQL.
  • Experience with Cloud platforms like AWS, Azure, or Google Cloud, and understanding of cloud-based data storage and computing services.
  • Familiarity with big data technologies like Apache Spark, Hadoop, and data lake architectures.
  • Develop and maintain data pipelines, ETL workflows, and analytical processes on the Databricks platform.
  • Should have good experience in Data Engineering in Databricks Batch process and Streaming
  • Should have good experience in creating Workflows & Scheduling the pipelines.
  • Should have good exposure on how to make packages or libraries available in DB.
  • Familiarity in Databricks default runtimes
  • Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
  • Should have experience working in Agile methodology
  • Strong verbal and written communication skills.
  • Strong analytical and problem-solving skills with a high attention to detail.

Experience
10 to 18 years

Job Reference Number
12932

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