Quikr - Data Engineer - Big Data Tools

3 weeks ago


RemoteAny Location, India QUIKR Full time

Role : Data Engineer.

Experience : 10+ years.

Location : Remote.

Notice Period : Immediate Joiners/30 days.

Job Description :

We are looking for a Data Engineer who is passionate about leveraging data.

We are looking for someone who is an expert in creating data pipelines for product/website optimisation, and has strong experience in using industry leading data tools such as Google Analytics, Adobe Analytics, Google Cloud Platform, Big Query & Data Studio, SnowFlake, SQLMesh, DBT, Apache Spark, Kafka, Hadoop, Pig, Flink, Domo, Tableau, Amazon Athena & Glue.

Required Skills :

- Expert in user journey mapping, traffic source analysis and clickstream analytics.

- Expert in using A/B tests to optimize user experience in a SAAS product.

- Expert with digital experience analytics tools like Google Analytics, Adobe Analytics, Amplitude, and Segment.

- Expert with Google Big Query.

- Expert in customer segmentation, RFM analysis, behavioral segmentation, and marketing attribution.

- Expert in SQL, ETL and data modeling.

- Experience in developing ETL pipelines integrating data from CRM systems such as Hubspot, Salesforce.

- Experience with data visualization tools such as Tableau & Domo.

- Experience with software engineering principles and languages for big data processing like Java, Scala, Python.

- Understanding of Data Governance & Security principles and best practices such as privacy, encryption, access control, auditing and data sovereignty.

- Strong communication and collaborative skills.

- Strong analytical skills and ability to combine data from different sources.

Preferred Skills :

- Has worked on product optimisation using A/B testing of features for a SAAS product.

- Has experience with building and maintaining a Data Lake and has worked with big data tools like SnowPlow, SnowFlake, Apache Spark, Kafka, Hadoop, Pig, Flink, Google Big Query, Amazon Athena & Glue.

- Experience with conversion rate optimization.

- Experience with building data pipelines for the E-commerce industry.

- Experience in designing robust and efficient ETL pipelines with tools like SQL Mesh or DBT.

- Cloud Computing Experience on platforms like AWS, Azure, GCP.

- Holds a Data Engineering certification (e. AWS/Azure Certified Data Engineer).

- Information Technology/Data Engineering/Computer Science/Engineering/Computer Applications or Master of Data Science.

(ref:hirist.tech)
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