Data Engineer

at Mobile Programming LLC

Data Engineer

Mobile Programming LLC

Company

Home

Data Engineer

at Mobile Programming LLC

Posted by Apurva kalsotra

3 - 8 yrs

₹2L - ₹9L / yr (ESOP available)

Mohali, Gurugram, Pune, Bengaluru (Bangalore), Hyderabad, Chennai

Skills

Data engineering

Data engineer

Spark

Apache Spark

Apache Kafka

Python

SQL

Linux/Unix

Shell Scripting

DevOps

CI/CD

Docker

Kubernetes

Javascript

Scala

Data integration

Spark Kafka

Pentaho

Responsibilities for Data Engineer

Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Responsibilities for Data Engineer

Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

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About Mobile Programming LLC

Founded :

1998

Type :

Services

Size :

1000-5000

Stage :

Profitable

About

Mobile programming LLC is a US based MNC company. Our services are focused on Mobility Solutions, Custom App Development, Cloud Solutions, IoT, AR/VR, Blockchain, Artificial Intelligence & Machine Learning, Predictive Analytics & Big Data Solutions, and several other trending as well as emerging technologies.

You can find more details on - https://www.mobileprogramming.com/

Connect with the team

Chandni oli

Piyush Singla

Vandana Dhiman

Abha Sharma

Krishna sravani

Neha Rana

Abhinav Dang

Preeti Gupta

Garima Walia

Surya Prabha

Preeti Bedi

Navrose Kaur

Nivedita Kumari

Anurodh Dhanwik

nitika nitika

Pankaj Bhardwaj

Tripti Jaiswal

Apurva kalsotra

Shweta Verma

Priyanka Anbarasu

Sindhuja Pasupathi

Surabhi Parihar

Simran Saini

Jagdeep Kaur

Sheetal Sharma

Divya Joshi

Nishanth Lingaraj

Prateek Kaushik

sudiksha arora

Zareen Kareem

Ragu Badri

vandana chauhan

Abha Sharma

Vinay Sattu

Company social profiles

N/A

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