Data Engineer (Azure)

at Scry AI

Data Engineer (Azure)

Scry AI

Company

Home

Data Engineer (Azure)

at Scry AI

Posted by Siddarth Thakur

3 - 8 yrs

₹15L - ₹20L / yr

Remote only

Skills

PySpark

Data engineering

Big Data

Hadoop

Spark

Windows Azure

Amazon Web Services (AWS)

Google Cloud Platform (GCP)

SQL

NOSQL Databases

Apache Kafka

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

Proficiency in Python, Linux and shell scripting.
Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
● Strong experience in developing the infrastructure required for data ingestion, optimal

extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory, Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).

Working knowledge of github or other version control tools.
Experience with creating Restful web services and API platforms.
Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

Experience with cloud providers like Azure/AWS/GCP.
Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

Experience with testing libraries such as pytest for writing unit-tests for the developed code.
Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
Knowledge of Azure functions , Elastic search etc will be good to have.

Having experience with model versioning (mlflow) and data versioning will be beneficial
Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

Proficiency in Python, Linux and shell scripting.
Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
● Strong experience in developing the infrastructure required for data ingestion, optimal

Working knowledge of github or other version control tools.
Experience with creating Restful web services and API platforms.
Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

Experience with cloud providers like Azure/AWS/GCP.
Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

Experience with testing libraries such as pytest for writing unit-tests for the developed code.
Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
Knowledge of Azure functions , Elastic search etc will be good to have.

Having experience with model versioning (mlflow) and data versioning will be beneficial
Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.

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About Scry AI

Founded :

2014

Type :

Product

Size :

100-500

Stage :

Profitable

About

Scry AI invents, designs, and develops cutting-edge technology-based Enterprise solutions powered by Machine Learning, Natural Language Processing, Big Data, and Computer Vision.

Scry AI is an R&D organization leading innovation in business automation technology and has been helping companies and businesses transform how they work.

Catering to core industries like Fintech, Healthcare, Communication, Mobility, and Smart Cities, Scry has invested heavily in R&D to build cutting-edge product suites that address challenges and roadblocks that plague traditional business environments.

Scry AI invents, designs, and develops cutting-edge technology-based Enterprise solutions powered by Machine Learning, Natural Language Processing, Big Data, and Computer Vision.

Scry AI is an R&D organization leading innovation in business automation technology and has been helping companies and businesses transform how they work.

Siddarth Thakur

Connect

Company social profiles

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