Adfolks LLC - Platform Engineering Company
Location
Kochi | India
Job description
As a Senior Data Engineer specializing in presales activities, you will play a crucial role in driving business growth by engaging with potential clients, understanding their data challenges, and presenting innovative data engineering solutions. This role requires a combination of technical expertise, strong communication skills, and the ability to collaborate with cross-functional teams.
Experience: 6+ Years Location : Remote/India
Responsibilities: Technical Presales Support:
- Collaborate with the sales team to understand customer requirements and challenges related to data engineering.
- Provide technical expertise during presales activities, including product demonstrations, presentations, and proof-of-concept sessions.
- Work closely with prospects to identify their unique data engineering needs and tailor solutions accordingly.
Solution Design:
- Develop detailed technical proposals and solution architectures based on customer requirements.
- Create and present compelling business cases that demonstrate the value of the proposed data engineering solutions.
- Collaborate with the product development team to align customer needs with the capabilities of our data engineering products.
Client Engagement:
- Build and maintain relationships with key stakeholders, including C-level executives, data scientists, and IT teams.
- Conduct workshops and training sessions to educate clients on the benefits and implementation of data engineering solutions.
- Address technical concerns and ensure client satisfaction throughout the presales process.
Market Insight:
- Stay abreast of industry trends, emerging technologies, and competitor offerings.
- Provide feedback to the product development team based on market insights and customer feedback.
Documentation:
- Create and maintain documentation, including technical specifications, case studies, and best practices, to support the presales process.
- Contribute to the development of sales collateral and marketing materials.
Skill Set required:
- Cloud: Azure, AWS and GCP (more cloud experience will be a plus)
- Programming/Scripting: Python, Scala, SQL
- Operating System: Linux, Windows
- Database: SQL Server, Oracle, MySQL, Postgres
- Data Warehouse: SQL Server, Synapse, Greenplum, Redshift, Bigquery, Hive
- Data Processing: Spark, FlinkQuery Engine: Presto / Athena, Impala, Synapse Serverless
- Orchestrator: Airflow / Composer, Data Factory, Glue, Synapse pipelines
- Message Broker/Queue: Service bus, Kafka / Event Hub
- Data Type: Parquet, ORC, JSON, CSV
- Visualization Platform: PowerBI, Tableau (knowing visualization platform is a plus)
- Data Platform: Cloudera, Azure Fabric, Logic Apps
- Compute: VMs (linux, Windows), Azure Function, AWS Lambda
- ML Platform: MLFlow, Azure ML, AWS SageMaker
- Infrastructure Tools: Kubernetes, Terraform
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