Data Engineer

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

Any

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

Pull Skill Technologies India

Originally posted on Himalayas