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Quantiphi

Senior Data Engineer -Snowflake

Posted 10 Days Ago
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3 Locations
Senior level
3 Locations
Senior level
Design and implement data solutions using Snowflake, develop ETL pipelines, optimize performance, and manage large-scale data projects with cloud technologies.
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While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role & Responsibilities:

  • Design and implement data solutions (ETL pipelines, Processing and Transformation logic) using Snowflake as a key platform.

  • Design Virtual warehouses which are optimized for performance and cost (auto scaling, idle time etc)

  • Write SQL , stored procedures to implement business logic, other critical requirements like encryption, data masking etc

  • Implement solutions  with features like Snowpipe, tasks, streams,dynamic tables etc

  • Design the solutions by leveraging key concepts around the architecture of Snowflake, its data distribution and partitioning mechanism, data caching etc.

  • Identify queries which take more time , look at the logs etc and provide solutions to optimize those queries

Skills expectation:

  • Must have:

    • 3+ years’ experience of Hands-on in data structures, distributed systems, Hadoop and Spark, SQL and NoSQL Databases 

    • Experience of working on Datawarehouse/DataLake projects using Snowflake (must) and either of Redshift/Big Query/Synapse/Databricks/Iceberg.

    • Designing and development of ETL pipeline (AWS/Azure/GCP)

    • Strong skills in writing SQL queries, stored procedures and functions in any of the SQL supported databases

    • Strong software development skills in at least one of:  Python,Pyspark or Scala.

    • Any of Airflow, Oozie, Apache NiFi, Google DataFlow  Message/Event Solutions  or other job orchestration services.

    • Experience in developing Big Data solutions (migration, storage, processing)

    • Experience in building and supporting large-scale systems in a production environment    

    • Cloud Platforms – AWS/GCP/Azure  Big Data Distributions 

    • Any of Apache Hadoop/CDH/HDP/AWS EMR/Google DataProc/Databricks/HD-Insights Distributed processing Frameworks. 

  • Good to have: 

    • Experience of working on Datawarehouse/DataLake projects using either of Redshift/Big Query/Synapse/Snowflake/Databricks/Iceberg

    • Tableau, Looker, Power BI

    • Any of Kafka, Kinesis, Cloud pub-sub  Container Orchestration (Good to have)

    • Requirement gathering and understanding of the problem statement

    • End-to-end ownership of the entire delivery of the project

    • Designing and documentation of the solution

    • Team management and mentoring

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Top Skills

Airflow
Apache Nifi
AWS
Azure
Big Query
Cloud Pub-Sub
Databricks
GCP
Google Dataflow
Hadoop
Hd-Insights
Kafka
Kinesis
Looker
Oozie
Power BI
Pyspark
Python
Redshift
Scala
Snowflake
Spark
SQL
Synapse
Tableau

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