AWS Cloud Data Engineer

6 days ago

Secunderabad, India DATAECONOMY Full time
Job Description

The role is of Cloud data engineer who has hands-on experience AWS DMS, Glue and Athena. The candidate must be familiar at least in one Data ware housing concepts such as ODS/Marts and must have done at least one end to end data processing pipeline designing. Nice to have familiarity with AutoSys (job scheduler) and MDM (master data management). He/she should be capable of handling the ETL design and implementation solely and would work towards creating a positive and innovation friendly environment. The incumbent would be responsible to create new capabilities.

 

Roles & Responsibilities: 

  • Collaboration & coordination with multiple business partners.
  • Develop pipelines to ingest data from different sources such as Database, delimited files etc, do complex transformation and loading data into the S3.
  • Develop Glue mapping and create Glue data catalogue.
  • Implementation of Athena.
  • Can optimize Informatica for performance improvements.
  • SQLs capability for data analysis.
  • Able to handle the end-to-end ETL or ELT pipeline solely.
  • Ensuring the work is delivered on time and with quality.


Requirements
  • Extensive practical experience in Information Technology and software development projects of with at least 5+ years of experience in developing data warehouse systems.
  • Extensive experience in on cloud data technologies – in particular on AWS.
  • Strong understanding of ETL and data warehouse concepts processes and best practices.
  • Good understanding of Big data and cloud technologies
  • Possess a combination of solid business knowledge and technical expertise with strong communication skills.
  • Demonstrate excellent analytical and logical thinking.
  • Good verbal & written communication skills and ability to work independently as well as in a team environment providing structure in ambiguous situation.
  • Understanding of Insurance Domain
  • Good understanding of Master Data Management and Data Governance.
  • Basic understanding of data visualization tools like SAS VA, Tableau
  • Good understanding of implementing & architecting data solutions using the AWS components.


Benefits

·        Medical Insurance of INR. 5.0 Lakh for Self and Family (a total of 6 members)

·        Group Personal Accidental coverage of INR.20.0 Lakh for the Employee

·        Group Personal Term Insurance coverage of twice the CTC

·        PF - As per the Standard regulations (12% on Basic Salary)

·        Gratuity - Applicable after the completion of 5 Years

·        Flexible work arrangements (Hybrid work, flexible hours, etc.).

·        Annual leave of 21 days (apart from the 10 calendar holidays)

·        Break-out area with Round the clock availability of soft drinks for employee’s refreshment.

·        Opportunity for professional growth and skill development.

·        Professional certification reimbursement and incentive for Advance Certifications

·        Ninja Program is designed for Multi skill development of employees.

·        Quarterly Rewards and Recognition program for celebrating employees’ milestones.

·        Annual performance appraisal to recognize employee contributions for salary increments, promotions etc.

·        Training and Development programs by the external/internal trainers



Requirements
AWS Services, AWS S3, Glue, Athena, Python, PySpark

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