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Job Title: Data Engineer Location: Bangalore Employment Type: Hybrid mode of work (3 Days work from office) Experience Level: 7-12yrs Notice period: Immediate to serving notice period up to 30 days Interview Process: R1 Technical round + R2 Technical round + F2F Teched Note: Don't share outstation or JNTU candidates. Final round F2F is mandatory. Only serving NP candidates will be considered. Job Description below : We are looking for a strong Data Engineer having hands on experience in building pipelines using Snowflake and DBT. Mandate Skills - SQL, Snowflake, Python, DBT and relevant years of experience into Data Engineering should be 7+ Key Responsibilities: Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB. Collaborate with data analysts, QA and business teams to build scalable data models. Implement data transformations, testing, and documentation within the DBT framework. Work on Snowflake for data warehousing tasks, including data ingestion, query optimization, and performance tuning. Use Python (preferred) for automation, scripting, and additional data processing as needed. Required Skills: 3+ years of experience in building data engineering pipelines. Strong hands-on expertise with DBT and advanced SQL. Experience working with modern columnar/MPP data warehouses, preferably Snowflake. Knowledge of Python for data manipulation and workflow automation (preferred). Good understanding of data modeling concepts, ETL/ELT processes, and best practice. .
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