Senior Analyst - Data Engineering
LatentView Analytics · Bangalore
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Collected role description
<p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">Designation : Senior Analyst - Data Engineering</span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">Level : L2</span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">Location : Bengaluru, Karnataka , India </span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">Experience : 4-6 Years</span></p><p style="color:rgb(19,19,19);"><br /></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">Job Role </span><span style="font-family:Georgia;font-size:14px;">:</span><br /><br /><span style="font-family:Georgia;font-size:14px;">Senior Data Engineer with expertise in SQL, Snowflake, Python, Pyspark, AWS Glue to contribute to the development of robust and efficient Data Pipelines.</span></p><p style="color:rgb(19,19,19);"><br /></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">Responsibilities </span><span style="font-family:Georgia;font-size:14px;">:</span><br /></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">* Design, develop, and maintain scalable data pipelines using AWS Glue and Snowflake.</span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">* Develop ETL/ELT workflows to ingest and transform data from multiple source systems.</span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">* Build and optimize Snowflake databases, schemas, tables, views, and SQL transformations.</span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">* Implement data quality, validation, error handling, and monitoring across data pipelines.</span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">* Optimize Snowflake queries, warehouse usage, and pipeline performance for cost efficiency.</span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">* Integrate AWS services such as S3, Glue, Lambda, and CloudWatch for end-to-end data processing.</span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">* Collaborate with business, analytics, and engineering teams to deliver reliable, business-ready datasets.</span></p><div style="color:rgb(19,19,19);"><br /></div><p style="color:rgb(19,19,19);"><br /><br /><span style="font-family:Georgia;font-size:14px;">Required skills </span><span style="font-family:Georgia;font-size:14px;">: </span></p><p style="color:rgb(19,19,19);"><span style="font-family:Georgia;font-size:14px;">Snowflake, Python, Pyspark, AWS, AWS Glue, SQL, Data Lake, Data Warehousing</span></p><p style="color:rgb(19,19,19);"></p><p dir="ltr" style="line-height:1.38;text-align:justify;background-color:#ffffff;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:14px;font-family:Georgia;color:rgb(42,51,62);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap;">We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.</span></p>
Collected experience requirement
3 - 6 Years