Data Engineer

4 days ago

Bengaluru Hyderabad Kolkata, India Genpact Full time ₹ 15,00,000 - ₹ 25,00,000 per year

PFB the JD:

We are inviting applications for the role of Data Engineer Extensive hands-on experience working with data using SQL, Python (PySpark), building ETL in AWS & AWS Services like GLUE OR ATHENA

We are looking for an experienced AWS Data Engineering to join our team. The successful candidate will be responsible for leading the development and implementation of data solutions on the AWS platform, working closely with our data analysts, BI Developers, data scientists, and software developers to build efficient and scalable data pipelines and systems.

Job Responsibility

  • Develop and design the architecture for data systems, including databases, data lakes, and data warehouses.
  • Create, maintain, and optimize ETL (Extract, Transform, Load) processes to ensure efficient data flow and transformation.
  • Collaborate closely with data scientists and analysts to understand data requirements and objectives.
  • Lead data refinement and enrichment initiatives, ensuring the integrity and quality of datasets.
  • Design, build, and maintain datasets using AWS and Dataiku platforms.
  • Develop scalable data systems to support multiple projects, ensuring optimal performance and efficiency.
  • Stay informed about industry best practices, emerging technologies, and advancements in data engineering. Apply research findings to enhance data processes.
  • Optimize data systems for performance, addressing bottlenecks and improving overall efficiency.
  • Maintain thorough documentation of data processes, systems, and configurations for knowledge sharing and future reference.

Mandatory Skills

Technical skills

  • Proficient in AWS services like S3, AWS Glue & Athena with hands-on experience in designing and implementing data solutions on the platform.
  • Expertise in using Dataiku for data preparation, integration, and advanced analytics.
  • Strong programming skills in languages such as Python (PySpark), SQL or Scala.
  • Experience with data modeling, ETL processes, and data warehousing concepts.
  • Ability to optimize and tune data systems for performance and scalability.
  • Strong understanding of cloud computing and optimization techniques.

Soft Skills:

  • Excellent verbal, written and presentation communication skills.
  • Strong oral and written communication skills required to effectively and concisely present key findings to senior management/ Client is a must.

Qualifications we seek in you

  • B.E. / B.Tech. / MCA in Computer Science, Engineering, or related field
  • 4+ years of industry experience
  • Advanced Certification/ Coursework in AWS / SQL/ Python (PySpark) Programming (added advantage)

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