AWS Data Engineer
Pune City, India
DATAECONOMY
Enabling Businesses to Monetize Data at Data Speeds with cutting edge Technology Services and Solutions. Big Data Management, Cloud enablement, Data Science, etc..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.
Good to have
- 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 & architecture data solutions using the AWS
components
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Athena AWS Big Data Data analysis Data governance Data management Data visualization Data warehouse ELT ETL Informatica Pipelines SAS Tableau
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