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# Senior Data Engineer- AWS & Realtime DataBricks_Onsite@Dallas,TX(Locals)

- **Company:** OpenKyber LLC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Computer Programming, Databases, Data Dictionary, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Systems, Relational Databases, Python (Programming Language), Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Query Optimization, Data Streaming, Data Ingestion, Apache Spark, Change Data Capture, Indexer, Pyspark, AWS Glue, Real Time Data, Api Gateway, Data Pipelines, Databricks
- **Published:** October 9, 2026
- **Apply:** https://www.careerjet.com/jobad/usb2672ea57b62050352cc55d4042e5a1a

## About the Role

* At least 4+ years of experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Scala or Python.
 * At least 4 years of experience with Python, Spark & Pyspark.
 * At least 3 years of experience working on AWS technologies.
 * Experience of designing, building, and deploying production-level data pipelines using tools from AWS Glue, Lamda, Kinesis using databases Aurora and Redshift.
 * Experience with Spark programming (Pyspark or scala).
 * Hands on experience with AWS components like (EMR, S3, Redshift, Lamdba, API Gateway, Kinesis ) in production environments.
 * Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques.
 * Experience using ETL tools for data ingestion.
 * Experience with Change Data Capture (CDC) technologies and relational databases such as MS SQL, Oracle and DB.
 * Ability to translate data needs into detailed functional and technical designs for development, testing and implementation.

For applications and inquiries, contact:hirings@openkyber.com

## Description

Onsite Availability: for Interviews any time between 2 to 5 PM CST from Tuesday to Friday
Mandatory skills: AWS, Databricks, Python, Spark & Pyspark, * Experience: 6 to 10 years

 * Realtime experience on databricks is must.
 * Collaborate as part of a development team to design and enhance large scale applications developed using Python, Spark & Pyspark.
 * Evaluates and plans software designs, test results and technical manuals using AWS.
 * Confer with business units and development staff to understand both the business and technical requirements for producing technical solutions.
 * Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
 * Extend and enhance the business Data Lake.
 * Create or implement solutions for metadata management.
 * Solve for complex data integrations across multiple systems.
 * Design and execute strategies for real-time data analysis and decisioning.
 * Build robust data processing pipelines using AWS Services and integrate with multiple data sources.
 * Translating client user requirements into data flows, data mapping, etc.
 * Analyses and determines data integration needs and follows Agile practices.