Job Description :
Hello,
We have urgent position for one of our client is looking for Data engineer. If you are interested please send me your resume with best contact number to .
Job Summary:
Data Engineer Job Description for Data Transformation:
We are looking for a savvy Data Engineer to join our growing team to build a modernized Data
Ecosystem. The hire will be responsible for expanding and optimizing our data and data pipeline
architecture, modernizing our data ecosystem with open source technologies 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 enjoys optimizing data systems and
building them from the ground up. The Data Engineer will support our software developers,
database architects, data analysts and data scientists 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. The right
candidate will be excited by the prospect of optimizing or even re-designing our company’s data
architecture to support our next generation of products and data initiatives.
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 working experience using the following
software/tools:
? Experience with big data tools: Hadoop, Apache Spark, Kafka, etc.
? Experience with relational SQL, Snowflake and NoSQL databases, including
Postgres and Cassandra.
? Experience with data pipeline and workflow management tools: NiFi, Kylo, Luigi,
Airflow, Azkaban etc.
? Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift
? Experience with stream-processing systems: Storm, Spark-Streaming, etc.
? Experience with object-oriented/object function scripting languages: Python,
Java, C++, PySpark, 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.