Multiple Openings - Sr. Google Cloud Platform Data Engineer, SAP BW Hana - ABAP, Lead Data Engineer - W2 ONLY

Senior Google Cloud Platform data engineers:

• Build scalable systems, lead technical discussions, deliver good quality results, participate in code reviews and guide the team in engineering best practices
• Provide technical leadership and contribute to the definition, development, integration, test, documentation and support across multiple platforms (Google Cloud Platform, Python, Machine Learning)
• Establish a consistent project management framework and develop processes to deliver high quality software, in rapid iterations, for business partners in multiple geographies
• Participate in a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools etc.
• Experienced in balancing production platform stability, feature delivery and reduction of technical debt across a broad landscape of technologies
• You have consistently high standards, your passion for quality is inherent in everything
• Knowledge of Statistical and machine learning models and Experience with
• Google Cloud Platform, Python, Hadoop, Spark, Cloud, Scala, Streaming (pub/sub), Kafka, SQL, data proc, data flow
• Data warehouses, distributed data platforms and data lakes
• Database definition, schema design, Looker Views, Models
• DS and Algorithm
• CI/CD
• You evangelize an extremely high standard of code quality, system reliability, and performance
• You have a proven track record coding with at least one programming language (e.g., Scala, Python) and
• Excellent structured thinking skills, with the ability to break down multi-dimensional problems
• Ability to navigate ambiguity and work in a fast-moving environment with multiple stakeholders

SAP BW HANA ABAP consultant:

Experience : Above 5 years

• Design, develop, and implement SAP BW data models and solutions on HANA database.
• Develop complex HANA models including Calculation Views, Attribute Views, and Table Functions.
• Proficiency in DLL landscape in tool BW/ HANA
• Implement data provisioning methods like SAP Landscape Transformation (SLT) and SAP HANA Smart Data Integration (SDI).
• Optimize data flows and queries for performance using SAP HANA optimizations techniques like In-Memory, Columnar Storage, and Partitioning.
• Strong understanding of SAP ABAP programming concepts, including object-oriented programming, BADI, BAPI, and RFC
• Hands-on experience required in developing reports, interfaces, conversion, enhancements and forms.
• Experience in various stages of implementation from blueprint, Gap analysis to customization, development, and testing, go-live and Post go-live production support.

Lead Data Engineer with extensive experience in building data integration pipelines in CI/CD model

Experience: 15 years (Lead experience 5 +yrs.)

• Ability to design and develop a high-performance data pipeline framework from scratch
• Data ingestion across systems
• Data quality and curation
• Data transformation and efficient data storage
• Data reconciliation, monitoring and controls
• Support reporting model and other downstream application needs
• Skill in technical design documentation, data modeling and performance tuning applications
• Lead and manage a team of data engineers, contribute towards code reviews, and guide the team in designing and developing convoluted data pipelines adhering to the defined standards.
• Be hands on, performs POCs on the open source/licensed tools in the market and share recommendations.
• Provide technical leadership and contribute to the definition, development, integration, test, documentation and support across multiple platforms (Google Cloud Platform, Python, HANA)
• Establish a consistent project management framework and develop processes to deliver high quality software, in rapid iterations, for the business partners in multiple geographies
• Participate in a team that designs, develops, troubleshoots, and debugs software programs for databases, applications, tools etc.
• Experience in balancing production platform stability, feature delivery and reduction of technical debt across a broad landscape of technologies.
• Skill in the following platform, tools and technologies
• Google Cloud Platform cloud platform GCS, Big Query, Streaming (pub/sub), data proc and data flow
• Python, PYSpark, Kafka, SQL, shell scripting & Stored procs
• Data warehouse, distributed data platforms and data lake
• Database definition, schema design, Looker Views, Models
• CI/CD pipeline
• Proven track record in scripting code in Python, PySpark and SQL
• Excellent structured thinking skills, with the ability to break down multi-dimensional problems
• Ability to navigate ambiguity and work in a fast-moving environment with multiple stakeholders
• Good communication skills and ability to coordinate and work with cross functional teams.

Thanks & Regards,

V.K.Ramanujam.

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