AWS Cloud Data Engineer
Hyderabad/Pune, India
DATAECONOMY
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Big Data Data analysis Data governance Data management Data visualization Data warehouse ELT ETL Informatica Pipelines SAS Tableau
Perks/benefits: Career development Flex hours Health care Medical leave
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