Data Engineer

Product based company

Data Engineer

Zyvka Global Services

Company

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Data Engineer

at Product based company

Agency job

via Zyvka Global Services

3 - 12 yrs

₹5L - ₹30L / yr

Bengaluru (Bangalore)

Skills

PySpark

Data engineering

Big Data

Hadoop

Spark

Python

Scala

Amazon Web Services (AWS)

ETL

CleverTap

Linux/Unix

Responsibilities:

Should act as a technical resource for the Data Science team and be involved in creating and implementing current and future Analytics projects like data lake design, data warehouse design, etc.
Analysis and design of ETL solutions to store/fetch data from multiple systems like Google Analytics, CleverTap, CRM systems etc.
Developing and maintaining data pipelines for real time analytics as well as batch analytics use cases.
Collaborate with data scientists and actively work in the feature engineering and data preparation phase of model building
Collaborate with product development and dev ops teams in implementing the data collection and aggregation solutions
Ensure quality and consistency of the data in Data warehouse and follow best data governance practices
Analyse large amounts of information to discover trends and patterns
Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\

Requirements

Bachelor’s or Masters in a highly numerate discipline such as Engineering, Science and Economics
2-6 years of proven experience working as a Data Engineer preferably in ecommerce/web based or consumer technologies company
Hands on experience of working with different big data tools like Hadoop, Spark , Flink, Kafka and so on
Good understanding of AWS ecosystem for big data analytics
Hands on experience in creating data pipelines either using tools or by independently writing scripts
Hands on experience in scripting languages like Python, Scala, Unix Shell scripting and so on
Strong problem solving skills with an emphasis on product development.
Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)

Responsibilities:

Should act as a technical resource for the Data Science team and be involved in creating and implementing current and future Analytics projects like data lake design, data warehouse design, etc.
Analysis and design of ETL solutions to store/fetch data from multiple systems like Google Analytics, CleverTap, CRM systems etc.
Developing and maintaining data pipelines for real time analytics as well as batch analytics use cases.
Collaborate with data scientists and actively work in the feature engineering and data preparation phase of model building
Collaborate with product development and dev ops teams in implementing the data collection and aggregation solutions
Ensure quality and consistency of the data in Data warehouse and follow best data governance practices
Analyse large amounts of information to discover trends and patterns
Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\

Requirements

Bachelor’s or Masters in a highly numerate discipline such as Engineering, Science and Economics
2-6 years of proven experience working as a Data Engineer preferably in ecommerce/web based or consumer technologies company
Hands on experience of working with different big data tools like Hadoop, Spark , Flink, Kafka and so on
Good understanding of AWS ecosystem for big data analytics
Hands on experience in creating data pipelines either using tools or by independently writing scripts
Hands on experience in scripting languages like Python, Scala, Unix Shell scripting and so on
Strong problem solving skills with an emphasis on product development.
Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)

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