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

Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/data-engineer-pull-skil