Senior Data Engineer
We are seeking a skilled and experienced Data Engineer with 6–9 years of
experience to design, build, and optimize scalable data pipelines and
architectures. The ideal candidate should have strong expertise in modern data
warehousing, cloud platforms, and ETL processes.
Key Responsibilities:
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Design, develop, and maintain robust data pipelines and ETL processes.
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Work with large-scale datasets using modern data warehousing solutions like
Snowflake.
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Develop and optimize SQL queries for data transformation and analysis.
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Implement and manage data solutions on AWS cloud platform.
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Collaborate with cross-functional teams to understand data requirements and
deliver solutions.
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Ensure data quality, integrity, and security across systems.
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Monitor and troubleshoot data pipeline performance issues.
Required Skills:
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Strong experience in
DBT (Data Build Tool)
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Hands-on experience with
Snowflake
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Proficiency in
SQL
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Experience working with
AWS Cloud services (S3, Lambda, EC2)
Good to Have Skills:
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Knowledge of
Python
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Experience with
PySpark
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Familiarity with
Databricks