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LTIMindtree

AWS Databricks Specialist

LTIMindtree

Nagpur, Maharashtra, India · مکمل وقت

درخواست دینے والے پہلے فرد بنیں۔

تجربہ
5-7 سال
تنخواہ
کھلنا
1
پوسٹ کیا گیا
5 گھنٹے قبل
کام کا موڈ
دفتر میں
دوبارہ شروع کریں۔
درخواست دینے کی ضرورت ہے۔

جہاں آپ کام کریں گے۔

ملازمت کی تفصیل

Role Summary

We are looking for an experienced AWS Databricks Specialist with 5 to 7 years in IT and hands-on expertise in Databricks on AWS. The position involves designing, optimizing, and maintaining cloud data solutions leveraging advanced Databricks features.

Key Responsibilities

  • Work closely with end users to identify challenges and propose effective Databricks-based solutions.
  • Evaluate new Databricks functionalities, perform proof of concepts, and develop standard best practices documentation.
  • Provide support for Spark-related issues, conduct code reviews, and offer technical recommendations.
  • Lead and mentor junior team members through technical guidance and problem-solving assistance.
  • Manage midsize teams ensuring delivery quality, deadlines, and adherence to project standards.
  • Take accountability for assigned tasks within an Agile work environment, striving for continuous improvement.
  • Create and maintain design and solution documentation aligned with specified requirements.
  • Implement job cost optimization and performance tuning to maximize system efficiency.
  • Support CICD pipelines and infrastructure automation efforts for seamless deployment.
  • Participate fully in Agile ceremonies to enhance team collaboration and productivity.

Required Qualifications and Skills

  • 5 to 7 years of IT experience with substantial hands-on use of Databricks on AWS.
  • Proficiency with Databricks capabilities including Delta Lake and Unity Catalog for scalable data processing.
  • Strong knowledge of AWS cloud services such as S3, Lambda, SNS, Step Functions, and Glue.
  • Expertise in optimizing job costs to reduce runtime and improve performance.
  • Experience with Python core libraries and PySpark for data engineering tasks.
  • Good analytical and logical skills for writing SQL queries, stored procedures, and designing marts/views within RDBMS.
  • Understanding of ETL processes and complete data pipeline architectures from source to data warehouse and reporting layers.
  • Familiarity with CICD pipelines for code deployment utilizing tools like Terraform.
  • Experience with version control systems including GitHub or equivalent platforms.
  • Strong grasp of Agile methodologies and software development lifecycles.
  • Excellent communication and presentation abilities for effective stakeholder collaboration.

Work styles they’re looking for

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