Data Engineer - Data Modelling/sql/big Data - @ Huquo Consulting

Desired Candidate Profile

- Advanced SQL and relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

- Strong analytic skills related to working with structured and unstructured datasets

- Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

- Manipulating, processing and extracting value from large disconnected datasets

- Build processes supporting data transformation, data structures, metadata, dependency and workload management

- Big data tools like Hadoop, Spark, Kafka, etc.

- Message queuing, stream processing, and highly scalable - big data- data stores

- Building and optimizing - big data- data pipelines, architectures and data sets

- Relational SQL and NoSQL databases, including Postgres and Cassandra

- Development of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

- AWS cloud services: EC2, EMR, RDS, Redshift

- Stream-processing systems: Storm, Spark-Streaming, etc.

- Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

- Visualization tools : Tableau, Power BI, Qlik etc.

As Data Engineer, your specific responsibilities include the following :

- 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.

Education:

UG:   Any Graduate - Any Specialization

PG:  Any Postgraduate - Any Specialization

Doctorate:  Doctorate Not Required

Contact Details:

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Keyskills:   C++ Java Data Structures Hadoop Python SCALA Spark Cassandra SQL NoSQL Postgres metadata