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LTIMindtree

AWS Databricks Specialist

LTIMindtree

Nagpur, Maharashtra, India · ಪೂರ್ಣ ಸಮಯ

ಅರ್ಜಿ ಸಲ್ಲಿಸುವವರಲ್ಲಿ ಮೊದಲಿಗರಾಗಿರಿ

ಅನುಭವ
5–7 ವರ್ಷಗಳು
ಸಂಬಳ
ತೆರೆಯುವಿಕೆಗಳು
1
ಪೋಸ್ಟ್ ಮಾಡಲಾಗಿದೆ
5 ಗಂಟೆಗಳ ಹಿಂದೆ
ಕೆಲಸದ ಮೋಡ್
ಕಚೇರಿಯಲ್ಲಿ
ಪುನರಾರಂಭ
ಅರ್ಜಿ ಸಲ್ಲಿಸಲು ಕಡ್ಡಾಯ

ನೀವು ಎಲ್ಲಿ ಕೆಲಸ ಮಾಡುತ್ತೀರಿ

ಕೆಲಸದ ವಿವರ

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

ಸಂವಹನ ವಿಶ್ಲೇಷಣಾತ್ಮಕ ಚಿಂತನೆ ನಾಯಕತ್ವ ತಂಡದ ಕೆಲಸ ನಿರಂತರ ಸುಧಾರಣೆ

ನಿಮಗೆ ಪ್ರತ್ಯುತ್ತರ ಬೇಕಾದರೆ ಅದನ್ನು ಬಿಡಿ — ನಾವು ಅದನ್ನು ಬೇರೆ ಯಾವುದಕ್ಕೂ ಬಳಸುವುದಿಲ್ಲ.

ಬ್ರೌಸ್ ಮಾಡಲು ಕ್ಲಿಕ್ ಮಾಡಿ, ಎಳೆಯಿರಿ ಮತ್ತು ಬಿಡಿ, ಅಥವಾ ಅಂಟಿಸಿ ಸ್ಕ್ರೀನ್‌ಶಾಟ್

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