Pull Skil
Data Engineer
Remote Data Engineer role with clear candidate location fit.
PostedJun 15, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
India
Role overview
Data Engineer
Requirements and responsibilities
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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
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.
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