10 Aug
|
Recognized
|
Hyderabad
10 Aug
Recognized
Hyderabad
Job
Description:
We are seeking a
talented and experienced Data Engineer to join our dynamic
team. The ideal candidate will have 4 -10 years of experience in
building production -quality data pipelines utilizing data
extraction tools such as Talend, Informatica, and data warehouse
platforms such as Snowflake and Redshift. Strong experience with
relational databases (such as Oracle), data modeling, and SQL is
required.
Key
Responsibilities:
- Design,
develop, and maintain high -performance, scalable,
high -volume, and efficient ETL/ELT pipelines to
extract, transform, and load data from various
sources such as Oracle.
- Create and
optimize data models and schemas to support various use cases
(such as AI/ML solutions, benchmarking, customer data
delivery) in Snowflake and Redshift.
- Ensure data
quality, integrity/completeness, and governance by
implementing best practices for monitoring and validation.
Build automated monitoring and alerting mechanisms.
- Collaborate
with cross -functional teams to understand data
requirements to support business objectives.
- Stay up to
date with emerging trends and technologies in data
engineering.
Required
Skills/Qualifications:
- 4 -10 years of
experience in building and maintaining ETL/ELT data pipelines
using tools such as Informatica, Pentaho Data Integration, or
other third -party tools.
- 4+ years of
hands -on experience with relational databases such as Oracle
and data modeling.
- Strong
programming skills in Python, SQL, or Scala.
- 3+ years of
experience on data warehouse platforms such as Snowflake and
Redshift.
- Familiarity
with data governance, security, and compliance best
practices.
- Keen eye for
data accuracy, completeness, and privacy.
- Familiarity
with cloud services such as AWS and Azure.
- Familiarity
with version control systems (e.g., Git), JIRA,
Confluence.
- Experience in
delivering customer -facing SaaS solutions.
- Bachelor’s
degree in Computer Science, Engineering, or a related field,
or equivalent practical experience.
- Strong
problem -solving skills and the ability to optimize data
processing workflows.
- Excellent
verbal and written communication and teamwork
skills.
Desirable
Skills:
- Experience
with AI and machine learning applications.
- Understanding
of containerization technologies like Docker.
- Knowledge of
CI/CD pipelines and DevOps practices.
Benefits:
- Competitive
salary and benefits package.
- Prospect to
work on cutting -edge technologies and innovative
projects.
- Collaborative
and inclusive work environment.
- Professional
development and growth opportunities.