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AWS Databricks Consultant - Pan India

Tech Mahindra

RemoteFull timeMid level₹16k – ₹26kPosted today
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About the role

Interested candidates can share their profiles to MR00851166@techmahindra.com

Job location - Pan India

Job Description

Job Title: AWS Databricks Consultant - Technical Architect

Location: PAN India

Years of Experience: 7-10 Years

Job Summary:

We are seeking an experienced AWS Databricks Consultant to join our team as a Technical Architect. The ideal candidate will have 7-10 years of experience in data engineering and analytics, with a strong focus on Databricks and AWS technologies. This role requires a deep understanding of cloud architecture, data processing, and analytics solutions, as well as the ability to lead technical discussions and design scalable data solutions.

Responsibilities:

  • Design and implement data solutions using AWS and Databricks, ensuring scalability, reliability, and performance.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Lead architecture discussions and provide technical guidance to development teams.
  • Optimize existing data pipelines and workflows for efficiency and cost-effectiveness.
  • Conduct code reviews and ensure best practices in data engineering and analytics.
  • Stay updated with the latest trends and technologies in cloud computing and data analytics.
  • Provide training and mentorship to junior team members on Databricks and AWS services.

Mandatory Skills:

  • Proven experience with Databricks, including Delta Lake and Spark.
  • Strong knowledge of AWS services, particularly S3, EC2, Lambda, and Redshift.
  • Experience in designing and implementing ETL processes and data pipelines.
  • Proficiency in programming languages such as Python, Scala, or SQL.
  • Solid understanding of data modeling, data warehousing, and data governance principles.

Preferred Skills:

  • Experience with data visualization tools such as Tableau or Power BI.
  • Familiarity with machine learning frameworks and libraries.
  • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
  • Experience with Agile methodologies and project management tools.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 7-10 years of experience in data engineering, analytics, or a related field.
  • Relevant certifications in AWS and Databricks are a plus.
  • Excellent communication and interpersonal skills.
  • Strong problem-solving abilities and a proactive approach to challenges.

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