About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.
Job Title:
Technical Lead - ETL Data Engineer
Experience:
12 - 16 Years
Location
- Hyderabad
Job Summary:
We are seeking a highly skilled and experienced
ETL Data Engineer
with a strong foundation in AWS, data warehousing, and application migration. The ideal candidate will be responsible for designing and maintaining cloud-based data solutions, leading teams, collaborating with clients, and ensuring smooth migration of on-premises applications to the cloud.
Key Responsibilities:
Engage directly with clients to understand requirements, provide solution design, and drive successful project delivery.
Lead cloud migration initiatives, specifically moving on-premise applications and databases to AWS cloud platforms.
Design, develop, and maintain scalable, reliable, and secure data applications in a cloud environment.
Lead and mentor a team of engineers; oversee task distribution, progress tracking, and issue resolution.
Develop, optimize, and troubleshoot complex SQL queries and stored procedures.
Design and implement robust ETL pipelines using tools such as
Talend
,
Informatica
, or
DataStage
.
Ensure optimal usage and performance of
Amazon Redshift
and implement performance tuning strategies.
Collaborate across teams to implement best practices in cloud architecture and data management.
Requirements
Required Skills and Qualifications:
Strong hands-on experience with the
AWS ecosystem
, including services related to storage, compute, and data analytics.
In-depth knowledge of
data warehouse architecture
and best practices.
Proven experience in
on-prem to cloud migration projects
.
Expertise in at least one
ETL tool
:
Talend, Informatica, or DataStage
.
Strong command of
SQL
and
Stored Procedures
.
Practical knowledge and usage of
Amazon Redshift
.
Demonstrated experience in
leading teams
and managing project deliverables.
Strong understanding of
performance tuning
for data pipelines and databases.
Good to Have:
Working knowledge or hands-on experience with
Snowflake
.
Educational Qualification:
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
Benefits
As per company standards.
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