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AWS Engineer

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Experience: 5-15 years
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Pan-India

Capabilities

  • You should have 3+ years experience developing Data & Analytic solutions
  • Experience building data lake solutions leveraging one or more of the following AWS, EMR, S3, Hive & Spark
  • Experience with relational SQL
  • Experience with scripting languages such as Shell, Python
  • Experience with source control tools such as GitHub and related dev process
  • Experience with workflow scheduling tools such as Airflow
  • In-depth knowledge of scalable cloud
  • Has a passion for data solutions
  • Strong understanding of data structures and algorithms
  • Strong understanding of the solution and technical design
  • Has a strong problem solving and analytical mindset
  • Experience working with Agile Teams.
  • Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
  • Able to quickly pick up new programming languages, technologies, and frameworks
  • Bachelor’s Degree in computer science

Qualifications

Bachelor of Engineering, Bachelor Computer Science or Master Degree

Skills

AWS, EMR, S3, Hive & Spark, SQL

Your Team

You are sought for an integral role in a prestigious IT services, consulting, and business solutions organization with a 50-year history of global partnerships. As India's largest multinational business group, operating in 46+ countries, they boast over 500,000 highly trained consultants. Pioneering financial markets infrastructure and data business, they seek your expertise to enhance their dedication to excellence in Data & Analytics, Capital Markets, and post-trade services through open-access partnerships to shape the future of global service delivery.

Your Job

  • You will be responsible for Designing and building simple (non-complex) reusable components of larger processes or frameworks to support analytics products with guidance from experienced peers
  • Design and implement product features in collaboration with business and Technology stakeholders
  • Anticipate, identify and solve issues concerning data management to improve data quality
  • Clean, prepare and optimize data at scale for ingestion and consumption
  • Support the implementation of new data management projects and re-structure the current data architecture
  • Implement automated workflows and routines using workflow scheduling tools
  • Understand and use continuous integration, test-driven development and production deployment frameworks
  • Participate in design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
  • Analyze and profile data for the purpose of designing scalable solutions
  • Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues