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Data Engineer

Role overview

Qualifications

  • Bachelor’s degree in computer science or information technology, or equivalent work experience.
  • 3+ years of experience as a Data Engineer.
  • Technical expertise with data models, data mining, and segmentation techniques.
  • Experience with relational SQL and NoSQL databases, data pipelines and workflow tools (e.g., Airflow, Azkaban), and data storage/warehousing technologies (e.g., Amazon S3, Snowflake/Redshift).

Responsibilities

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Identify, design, and implement internal process improvements, including automating manual processes and optimizing data delivery.
  • Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.

About the company

Pull Skill Technologies Inc. logo

Pull Skill Technologies Inc.

Human Resources, Staffing & Recruiting

Pull Skill Technologies Inc. has the experience and resources to provide your organization with the best personnel to supplement your information technology needs. Our highly experienced recruiters find qualified candidates quickly through state-of-the-art business practices. Networking and relationship building, proactive internet mining and constant refining of our database inventory give us the ability to respond to your needs rapidly and effectively A team of Pull Skill Technologies Inc. consultants works in collaboration with or in parallel to project team at client location to complete a technology project. This model allows for the most efficient teamwork and communication of changing project requirements.

Company details

Company typeSME
IndustryHuman Resources, Staffing & Recruiting
Company size51 - 200

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Job description

Company Description

Pull Skill Technologies India

Job Description

Job Title: Data Engineer

Duration: 6+ Months Contract

Location: Remote India

 

Duties And Responsibilities

 

Essential Functions:

·         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 for Information Asset as well as Information Asset Customers’ 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 to build and optimize offering into an industry leading solution

·         Work with data and analytics experts to strive for greater functionality data systems.

 

Position Requirements

·         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.

·         Excellent writing and verbal communication skills and a high level of customer orientation

 

 Working Environment/Travel Requirements

This is a remote working position and you will be expected to work out of a home office with high speed internet and phone connection to enable seamless virtual presence.

 

Qualifications

Required Education and Experience:

·         Bachelor’s degree in computer science or information technology, or equivalent work experience.

·         3+ years as a Data Engineer.

·         Data engineering certification (e.g. IBM Certified Data Engineer, AWS Certified Data Analytics - Specialty) is a plus.

·         Must have technical expertise with data models, data mining, and segmentation techniques.

·         Experience using any of all of a combination of the following software/tools: • Relational SQL and NoSQL databases, including Postgres and Cassandra.

·         Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

·         Data Storage Technologies like Amazon S3, Snowflake/Redshift, Hive, HDFS

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

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

·         Data warehousing using Oracle/Snowflake.

·         ETL Technologies like -Apache Spark/AWS Glue/ Databricks, Apache Airflow, Apache Hadoop.

·         Experience supporting and working with cross-functional teams in a dynamic environment.

 

Regards,

Nick Arthur (Nizam)

Associate Director, Recruitment

Pull Skill Technologies India.

+91 7416706136

LinkedIn: linkedin.com/in/nick-arthur-83937b62

Qualifications

Any

Additional Information

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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