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Big Data Engineer

Company:
Pharma
Location:
Wilmington, Delaware, United States
Posted:
October 13, 2018

Description:

Hi,

We are looking for :Big Data Engineer for one of our clients in DE. Kindly go through the below job opening and let me know your interest. Please send updated resume in word format along with pay rate .

Job Title :Big Data Engineer

Location : Wilmington,DE

Client : AstraZeneca & MedImmune

Duration : 3 Months Contract

Description:

Note: Candidates should be available to start as soon as possible. Start date could change, to an earlier date, depending on when the right candidate has been identified.

Job Overview:

We are looking for a savvy Data Engineer to join our 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 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.

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.

Areas of specialization will include:

• Business Intelligence

o Data visualization, User Interface design

o Data analysis and design of KPI/Measures/Metrics

o Development of Reports using AZ adopted BI technologies

• Data Integration

o ETL and ELT concepts, principles and implementations

o Data Virtualization concepts, principles and implementations

• Data Management

o Data Quality with Data Profiling

o Master Data Management

o Meta Data Management

o Data Archival

• Applicable tools: -

o Python, R, Talend, Informatica, Data Pipeline, Snaplogic

o Oracle, SQL Server, Redshift

o Big Data Technologies – Hive, Impala

• Understanding of data management and integration services

• Life cycle management and capacity planning

• Creation of standards and procedures for administrators to maintain AstraZeneca's environments.

• Supports operational and engineering aspects of Data Services support

Candidate Knowledge, Skills & Experience –

• 8+ years of Application Services administration and system engineering experience

• 5+ years of 24*7 operational production support experience supporting multiple time zones/geographical regions

Education, Qualifications, Skills and Experience

Essential Desirable

Desirable experience and skills:

• Strong communication skills

• Developing on an AWS platform (S3, Aurora, Redshift, Kinesis, Elastic Beanstalk, Docker)

• Developing with MySQL or PostgreSQL

• SAP data model experience (esp. FICO, SD)

• Data modelling (particularly in ERWIN)

• Database design

• Agile development (SAFe, SCRUM)

• Experience with 3/5NF and Star Schemas

Behaviour and skills

• Mental Agility: critical and fast thinker, comfortable with complexity and making connections that are understandable for others – Breadth and Depth of thinking - Problem solving.

• Adaptability: Learner mindset; demonstrated ability to take risk and be successful in different environment. Entrepreneurship. Comfortable with ambiguity and unpredictability. Forward looking.

• Self-Awareness: Has personal insight and effectively communicates

• Impact and Influence: strong drive for results - Ability to lead change effectively. Challenge status quo - Ability to impact and influence different profiles and add value.

Demonstrates AZ values (Play to Win, Be Entrepreneurial and Do the right thing)

• Masters degree

• Demonstrated leadership skills interacting with senior leaders