Senior Data Cloud Engineer

iXoop Infotech, Inc. is built on the core strategy of creating a robust platform to provide our partners with distinct, consistent and high-performance solutions, which enables them to stay ahead of their competition." Profiles. With our US Headquarters in Glen Allen, Virginia, we provide highly qualiied contractor and full time talent to our robust client base. Sr Data/ Cloud Engineer role. MULTIPLE ROLES OPEN Location: Dallas, TX Need local candidates who can go onsite form Day 1. Responsibilities:

• Collaborate as part of a development team to design and enhance large scale applications developed using Python, Spark.
• 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.

• At least 6+ 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.
• 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