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
l Technologies India.
+91 7416706136
LinkedIn: linkedin.com/in/nick-arthur-83937b62
Any
All your information will be kept confidential according to EEO guidelines.
l Technologies India
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