We’re weaving a success story for those who are passionate about using technology to be part of a revolution — one that’s continuously enabling enterprises to bring more value to their partners and customers alike.
Role Summary:
Architectural ownership and solution design
Experience with Enterprise-Scale Data Projects and comfort around designing scalable Cloud Data Platforms (CDP)
Cloud Computing Solution designing on AWS, Azure, GCP or alike
Designing end-to-end Data Pipelines – keeping in mind its orchestration. This includes
ETL/ELT (we look for experience on Informatica, AWS Glue, GCP Data flow, Apache Nifi or alike)
Handling sensitive data like PII
Data Governance
Data Design and Persistence
Workflow Orchestration
Working around Distributed Systems and Transformation of Big Data to design
Data Lake House
Enterprise Data Warehouses
Enterprise Data Marts
Operational Data Marts
Orchestration and containerization of solutions (we look for experience on vanilla Kubernetes or cloud equivalents, Open Shift, , Docker Swam or alike)
Direct interaction with customers, partners to get insights on their data, current system and setup, use-case and their desired outcome
Requirements
Must Have:
Overall 5+ years working on enterprise solutions including 3+ years of relevant experience.
Experience working on large scale Data Projects - designing and building scalable ETL/ELT data pipelines along with its processing or transformation
Experience leading a team of Data Engineers and DevOps professionals
Experience facilitating technical discussions with customers, partners, and internal stakeholders
Experience with at least ONE from each category of our Big Data Ecosystem Tech Stack
Big Data Ecosystem Tech Stack Reference:
o Programming Language (at least one)
Python, Java, Scala
o Platforms (Linux along with at least one)
Docker, Kubernetes, Cloudera, Hortonworks etc
o ETL/ELT (at least one of both – on-premise and cloud equivalent)
Cloud equivalents like AWS Kinesis, GCP PubSub, GCP DataFlow, Azure Event Hub, Azure Stream and others
o Data Warehousing (at least one)
Snowflake, Cloud equivalents like AWS Redshift, GCP Big Query, Azure Data Warehouse and others
o Orchestration (not mandatory but nice to have skill)
Apache Airflow or cloud equivalents like AWS Step Functions and others
Nice to Have:
Engineering background – B.Tech/ M.Tech/ PhD
Demonstrated understanding of enterprise data warehouses, lake house architecture, BI & analytics, metadata management and governance
Experience in architectural solutions for Financial Services domain – banking, insurance, mutual fund or similar
Work with sales teams, in a partnership model to pro-actively research accounts involved with to identify client's pain areas/business challenges, and design appropriate solutions for pro-active proposals.
Detailed Exposure to at least one of the following cloud providers: AWS, GCP, Azure
Experience designing real-time data stream processing solutions.
Experience working in a fast-paced startup environment
Certifications from Cloud or Data Solutions Providers like AWS, GCP, Confluent, Data bricks, Cloudera etc.
Responsibilities:
Facilitate technical discussions with customers, partners, and internal stakeholders as needed through all phases of customer engagements.
Provide domain expertise around public cloud and enterprise technology, and promote Google Cloud with customers, at conferences, and online.
Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive partners.
Provide customer and market feedback to product and engineering teams to help define product direction.
Work as part of a broader Solutions Go-to-Market team to contribute technical assets, prioritize and shape solution direction, while impacting top line business and bookings.
Ensure that the deliveries from the team members should meet the delivery schedule with optimum quality.
Seminar for architectural experience and training for Tech-Leads
Benefits
Group Medical polices - INR 5,00,000 with Private room.
Equal Employment Opportunity
Maternity Leave
Skill Development
100% Sponsorship for certification
Work Life balance
Flexible work hour
Zero Leave tracking
Industry Technology Work Experience 4-8 years Assigned Recruiter(s) Dharmendra Rawat City Noida State/Province Uttar Pradesh Country India Zip/Postal Code 201309
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