Data Engineer New

NetVerks Inc.; Chennai; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Moving Walls is hiring a Data Engineer to design and maintain data pipelines, enabling scalable analytics and insights across our advertising platform.

You will work with SQL databases and big data technologies (Hadoop, Spark, Kafka) and collaborate with product, data, and design teams to optimize data delivery and security.

Qualifications

• Advanced SQL and relational database experience; familiarity with multiple databases.
• Experience building and optimizing big data pipelines, architectures, and datasets.
• Root-cause analysis on internal/external data to answer business questions and identify improvements.
• Strong analytics with unstructured data.
• Data transformation, metadata, dependency and workload management.
• Proven history of extracting value from large, disconnected datasets.
• Knowledge of message queuing and scalable big data stores.
• Excellent project management and organization; cross-functional collaboration.
• 5+ years in a Data Engineer role with a quantitative degree; experience with Hadoop, Spark, Kafka; SQL and NoSQL databases.
• Exposure to AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift; stream-processing: Storm, Spark-Streaming.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets meeting business requirements.
• Identify and implement internal process improvements: automate manual tasks, optimize delivery, scale infrastructure.
• Build infrastructure for ETL of data from diverse sources using SQL and AWS big data tech.
• Develop analytics tools using the data pipeline for insights on acquisition and efficiency.
• Collaborate with stakeholders across Executive, Product, Data and Design teams.
• Keep data separated and secure across national boundaries using multiple data centers and AWS regions.
• Create data tools for analytics and data science teams to enable product leadership.
• Work with data experts to enhance data system functionality.

Skills

SQL

Big Data

Root Cause Analysis

Unstructured Data

Data Transformation

Metadata

Message Queuing

Cross-functional

Python

Java

C++

AWS

Education

Graduate degree in CS/Statistics/IS or quantitative field

Tools

Hadoop

Spark

Kafka

MongoDB

PostgreSQL

Cassandra

Airflow

Azkaban

Luigi

EC2

EMR

Glue

RDS

Redshift

Storm

Spark-Streaming

Job description

Who we are: We Move Walls To Measure, Reach, and Influence Real People in Physical Spaces The digital disruption of out-of-home advertising has presented us with an opportunity for innovation and leadership. We use data and technology to…

Who we are: We Move Walls To Measure, Reach, and Influence Real People in Physical Spaces The digital disruption of out-of-home advertising has presented us with an opportunity for innovation and leadership. We use data and technology to design media solutions that empower our clients to measure, reach and influence consumers in the real world. In simple terms, we have created the industry platform for Outernet. Our proficiency in these fields has lead to us being recognised with more than 25 global and regional awards for media innovation, technology, and business leadership. If you think that you can lead the team to greater achievements, this is the right role for you.

Company Website : www.movingwalls.com

Job Description – Data Engineer

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 MongoDB, Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.