Sr. Data Engineer

2 days ago

Pune, India Nts Automation Labs Full time

We are seeking a highly skilled Data Architect with expertise in AWS cloud services and data integration to join our team. The ideal candidate will be responsible for architecting, designing, and implementing scalable, secure, and high-performance data solutions. This role requires close collaboration with cross-functional teams and leadership in driving technical excellence across all stages of the data lifecycle.

Sr. Data Engineer (AWS Tech Stack)
Location:Pune (WFO)
Experience: 5+ Years

Roles & Responsibilities

Architect and Design:

Design and implement data integration solutions using AWS services.

Develop architecture blueprints and detailed documentation.

Ensure solutions are scalable, secure, and aligned with best practices.

Implementation of Logs, Alerting and Monitoring at various stages of Data flow.

Data Management:

Manage and optimize ETL processes to ensure efficient data flow.

Integrate data from various sources into data lakes, data warehouses, and other storage

solutions.

Ensure data quality, consistency, and integrity across the data lifecycle.

Data Pipeline Management  Ensuring the data ingestions and pipelines are robust and

scalable for huge data sets.

Collaboration and Leadership:

Work closely with data engineers, data scientists, and other stakeholders to understand data

requirements and deliver solutions.

Lead technical discussions and provide guidance to the development team.

Conduct code reviews and ensure adherence to coding standards.

Performance Optimization:

Monitor and optimize the performance of data integration processes.

Troubleshoot and resolve issues related to data integration and ETL pipelines.

Implement and manage data security and compliance measures.

Semantic and Aggregation layer design and review

Dashboard performance tuning (Looker)

Qualifications:

Must have

Education and Experience:

Bachelors or Masters degree in Computer Science, Information Technology, or related field.

Minimum of 5 years of experience in data integration and ETL processes.

Extensive experience with AWS services such as AWS Glue, AWS Lambda, Amazon Redshift,

Amazon S3, and AWS Data Pipeline.

Technical Skills:

Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).

Strong programming skills in Python

Experience with data modeling, data warehousing, and big data technologies.

Familiarity with data governance and data security best practices.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work independently and as part of a team.

Good to Have

AWS Certified Solutions Architect or equivalent certification.

Experience with machine learning and AI technologies.

Familiarity with other cloud platforms (Google Cloud).

Experience and exposure to US health care and Life science

GCP Look ML

Apply today to be part of an innovative team driving data excellence through cutting-edge AWS technologies on below mail Id

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