Sustainability Economics Hiring Drive 2023 For AWS Data Engineer

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Sustainability Economics Hiring Drive 2023 | Sustainability Economics Is hiring for a job role of  AWS Data Enginee for Multiple Location. Interested Jobseekers With 2+ Years Of Experience candidates can apply for this job role ASAP. The detailed eligibility and application process is given below.

Company Name: Sustainability Economics

Role: AWS Data Engineer

Location: Bangalore

Experience: 2+ Years

Qualification: Bachelor’s degree

Batch: Any Batch

Salary: 8 LPA (Estimated)

Sustainability Economics Hiring Drive 2023

Job Description:

  • Design, develop, and implement end-to-end data engineering solutions from ground up on the AWS platform using services such as Glue, EMR, Lambda, QuickSight, and more.
  • Collaborate with cross-functional teams and stakeholders to gather data requirements and understand business objectives.
  • Architect and implement data models and schemas that align with best practices and optimize query performance.
  • Build robust and scalable data pipelines to extract, transform, and load (ETL) data from diverse sources into target systems.
  • Integrate third-party APIs to retrieve and ingest data from external systems, ensuring data accuracy and reliability.
  • Perform data profiling, data cleansing, and data quality checks to ensure accuracy and consistency.
  • Optimize SQL queries and database performance, leveraging SQL tuning techniques and indexing strategies.
  • Implement data governance and security measures to protect sensitive data throughout the pipeline.
  • Develop and maintain documentation for data pipelines, data flows, and data transformations.
  • Stay up-to-date with industry trends and emerging technologies in data engineering, AWS services, and third-party API integrations.
  • Mentor junior team members and provide technical guidance and support as needed.

ATG Business Solutions Hiring Drive 2023

Education and Experience:

  • Bachelor’s degree in Computer Science or a related field.
  • Minimum of 2+ years of experience in data engineering, specifically in building and maintaining data pipelines from scratch
  • Strong proficiency in AWS services such as Glue, EMR, Lambda, QuickSight,API Gateway etc.
  • Expertise in data modeling, schema design, and relational database concepts.
  • Solid working knowledge of SQL, SQL tuning, and data modeling best practices.

Sustainability Economics Hiring Drive 2023

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