Data Engineer

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

All your information will be kept confidential according to EEO guidelines.