Zorba is the new age analytics provider that brings data driven decision to life for its clients. We believe in getting analytics executed on ground with the client team rather than just creating complex machine learning or predictive modelling algorithms. 

We offer services across the spectrum ranging from analytics training and setting up data centres to delivering analytics based strategic consulting solutions. One of the key value adds we do is with the speed at which we deliver solutions.

Headquartered in Mumbai, Zorba was conceived with an objective of creating value for businesses in near future rather than long term. We are experts in leveraging big data, building data driven solutions and operationalizing analytics at each stage of decision making process with following key offerings: 

•	Data Visualization and Dashboard design
•	Predictive Modelling Algorithms
•	Data Management and Transformation
•	Analytics based reporting solutions
•	Marketing and Business Process Optimization

Witnessing the stories of success and failure of numerous businesses at different stages, we came to the conclusion that every business can be successful if improvisation continues relentlessly. 

We want to make this process faster and smarter for our clients in their quest for growth by hand holding through data analytics and strategic leadership for effective decision making. 

You can follow us on :
https://www.quora.com/profile/Yash-Chaudhary-516
https://www.instagram.com/zorbaconsulting/?hl=en
https://twitter.com/ConsultingZorba
https://www.facebook.com/Zorbaconsulting/

Zorba Consulting India

We are looking for an experienced&nbsp;Data Engineer – Snowflake + IICS with 7–10 years of overall experience and strong expertise in Data Warehousing, Snowflake, Informatica Intelligent Cloud Services (IICS), ETL/ELT, SQL, and Data Modeling.
The ideal candidate will be responsible for designing, developing, migrating, and implementing scalable data solutions on Snowflake. The role requires strong hands-on technical expertise along with the ability to work directly with Business and IT teams to understand requirements, resolve dependencies, and deliver business solutions.
Key Responsibilities
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Design, develop, test, and implement scalable data solutions using Snowflake.
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Design and implement data/enterprise engineering workloads and migrations onto Snowflake.
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Develop and maintain ETL/ELT mappings and workflows using IICS (Informatica Cloud).
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Build data pipelines to ingest source data from SAP S/4HANA into Snowflake.
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Develop complex Snowflake SQL, Stored Procedures, Views, and UDFs.
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Implement incremental data processing and Change Data Capture (CDC) using Snowflake Streams and Tasks.
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Use Snowflake ingestion capabilities such as COPY INTO, Snowpipe, and related utilities.
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Implement Time Travel and other Snowflake data management capabilities.
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Design and maintain scalable data models for analytical and enterprise workloads.
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Perform SQL query optimization and Snowflake performance tuning.
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Develop automated data processing solutions using Snowflake Tasks.
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Implement and maintain Snowflake Data Sharing and Data Replication solutions.
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Explore and implement newer Snowflake capabilities, including Snowflake Cortex and other modern features where applicable.
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Implement CI/CD and DevOps practices for data engineering solutions using Azure DevOps or GitLab.
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Work closely with Business and IT stakeholders to understand requirements and provide technical solutions.
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Coordinate with cross-functional teams on requirements, dependencies, issues, and delivery status.
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Troubleshoot production issues and provide timely resolution.
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Ensure data pipelines and solutions meet performance, reliability, security, and quality standards.
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Required Skills
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7–10 years of overall IT/Data Engineering experience.
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5+ years of relevant experience in Data Warehousing technologies.
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2+ years of hands-on experience with Snowflake, including design, development, implementation, and migration.
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Strong hands-on experience with IICS / Informatica Cloud and ETL mappings.
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Strong expertise in SQL and Snowflake SQL.
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Experience developing:
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Stored Procedures
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Views
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UDFs
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Complex SQL queries
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Strong understanding of Data Modeling and Data Warehousing concepts.
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Experience with SAP S/4HANA as a source system and loading data into Snowflake.
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Hands-on experience with:
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Snowflake Streams
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Snowflake Tasks
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Time Travel
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Snowpipe
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COPY INTO
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CDC / Incremental Loads
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Strong understanding of Snowflake performance tuning and query optimization.
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Experience with Snowflake Data Sharing and Data Replication.
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Preferred Skills
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Experience with Snowflake Cortex and other recent Snowflake features.
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Experience implementing CI/CD and DevOps using Azure DevOps or GitLab.
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Experience with automated deployment of Snowflake/IICS components.
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Exposure to enterprise-scale Snowflake migration projects.
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Experience working in Agile delivery environments.
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Business &amp; Communication Skills
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Strong ability to understand and translate business requirements into technical solutions.
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Excellent communication and stakeholder-management skills.
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Ability to coordinate with Business, IT, and cross-functional teams.
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Strong analytical and problem-solving skills.
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Ability to work independently as an Individual Contributor.
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Good experience in requirement clarification, dependency management, issue resolution, and status reporting.
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Preferred Candidate Profile
The ideal candidate should have strong hands-on experience across:
SAP S/4HANA → IICS → Snowflake → Data Modeling → SQL/Stored Procedures → CDC → Streams/Tasks → Performance Tuning
Candidates with strong Snowflake development and IICS ETL experience, rather than purely Snowflake administration or reporting experience, will be preferred.
Core Technology Stack
Snowflake | IICS | SQL | SAP S/4HANA | ETL/ELT | Data Modeling | Snowpipe | Streams | Tasks | Time Travel | Stored Procedures | UDFs | Data Sharing | Data Replication | Azure DevOps/GitLab | Snowflake Cortex