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SWITS DIGITAL Private Limited
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Data Engineering Lead (AWS + Snowflake)

Data Engineering Lead (AWS + Snowflake)

SWITS DIGITAL Private Limited

15 years

0 Lacs

delhi india

Posted:1 week ago| Platform:

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Skills Required

data engineering aws processing integration analytics design pyspark python automation tuning optimization programming airflow orchestration

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Data Engineering Lead (AWS + Snowflake)

Experience:

9–15 Years

Location:

PAN India (Flexible Work Locations)We are seeking a highly skilled

Data Engineering Lead

with strong expertise in AWS and Snowflake. The ideal candidate will be solution-oriented and experienced in designing and delivering scalable data engineering solutions, preferably within the telecommunications industry. The role requires deep knowledge of end-to-end data architectures, layered data processing frameworks, and optimized data pipelines.The candidate should have hands-on experience in leveraging AWS for efficient data integration, processing, and analytics, along with strong proficiency in Snowflake for modern cloud-based data warehousing.

Key Responsibilities

Design, develop, and maintain scalable data architectures and pipelines for large-scale data platforms.
Build and optimize Data Lakes to unify structured and unstructured data sources.
Implement real-time and batch data processing using Snowflake features like Streams, Tasks, and Snowpipe.
Utilize AWS services (EC2, Glue, Lambda, S3, Athena, MWAA) for data integration, processing, and analytics.
Develop and manage PySpark/Python-based workflows for scalable transformations and automation.
Perform data modeling, performance tuning, and optimization in Snowflake.
Collaborate with cross-functional teams to deliver end-to-end data engineering solutions aligned with business goals.

Primary Skills (Non-Negotiable)

Strong expertise in AWS and Snowflake
Proficiency in AWS Glue
Hands-on experience with PySpark

Additional Skills

Strong programming skills in Python
Experience with distributed data processing pipelines
Knowledge of Airflow/MWAA for orchestration
Exposure to advanced analytics and secure data sharing

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Data Engineering Lead (AWS + Snowflake)