Position: Data Engineer
Location: Chennai- Guindy Industrial Estate
Duration: Full time role
Company: Mobile Programming (https://www.mobileprogramming.com/" target="_blank">https://www.mobileprogramming.com/)
Client Name: Samsung We are
looking for a
Data Engineer to join our growing team of analytics experts. The hire will be
responsible for expanding and optimizing our
data and
data pipeline architecture, as well as optimizing
data flow and collection for cross functional teams. The ideal candidate is an experienced
data pipeline
builder and
data wrangler who enjoy optimizing
data systems and building them from the ground up.
The
Data Engineer will support our software developers, database architects,
data analysts and
datascientists on
data initiatives and will ensure optimal
data delivery architecture is consistent throughout
ongoing projects. They must be self-directed and comfortable supporting the
data needs of multiple
teams, systems and products.
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
datafrom 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.
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
Experience building and optimizing big
data ETL pipelines, architectures and
data sets.
Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
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’
datastores.
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 3-6 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: Spark, Kafka, HBase, Hive etc.
Experience with relational SQL and NoSQL databases
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, Scala, etc.
Skills: Big Data, AWS, Hive, Spark, Python, SQL
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