Software Engineering LMTS
Hyderabad, India
1h ago

Job Details

Salesforce is embarking on our own Digital Transformation to deliver customer success for our customers and accelerate our growth.

A key pillar of this transformation is building a strong data foundation to support all of our core marketing needs through intelligent data sets as a service.

We’re looking for an experienced and committed data engineering lead who would deliver Salesforce Marketing’s data foundation and automated datasets.

This lead will work closely with product management, data science, data visualization, and analyst teams to support them by building data pipelines and data architecture using Snowflake / GCP / AWS.

The right candidate will have strong experience with data infrastructure, data architecture, ETL / ELT, SQL, automation, data frameworks and processes to rapidly integrate disconnected and disparate data sources into automated datasets for analysts consumption.

The candidate will also have proven track record working with enterprise metrics, strong operational skills to drive efficiency and speed, expertise building repeatable data engineering processes, strong project management skills, and a vision for how to deliver data products.

Experience with marketing and sales data sets is a huge plus. Responsibilities : Design and Implement of data pipelines, both batch and real time, that produces reliable data for various data consumption use cases.

Manage all aspects of dataset design, creation, and curation; including the frameworks to derive metrics to deliver data products for KPI’s, visualization, data science, analyst and stakeholder teams Build and own the automation and monitoring frameworks that showcase reliable, accurate, easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality and performance.

Help manage Marketing data platforms which includes the Google Cloud stack, Amazon Web services, Snowflake and traditional data warehouses such as Oracle.

Be the subject matter expert for data, pipeline design, and other related big data and programming technologies. Proactively identify reliability & data quality problems and drive triaging and remediation process Partner with Analysts and Data Scientists on delivering reliable data that powers actionable insights Evaluate various technologies and platforms in open source and proprietary products.

Execute proof of concept on new technology and tools to pick the best tools and solutions. Understanding of data governance practices such as metadata management, data lineage, and data glossaries a huge plus.

Foster strong collaboration between globally distributed team members Harness operational excellence & continuous improvement with a can do attitude.

Qualification and Skills : You have to love data - this is what we do. We are looking for people who are excited about different and unique data sets, and all the ways that they could be used in order to improve user experience.

B.S / M.S. in Computer Sciences or equivalent field, with 10+ years total experience and 3+ years of relevant experience within big data / data warehousing domain.

Solid understanding of RDBMS concepts, data structures and distributed data processing patterns. Expertise in programming pipelines in languages like Python, Scala, Java etc.

Experience with Cloud technologies like Snowflake, AWS, GCP, Kubernetes etc.. Experience with version control systems (Github, BitBucket etc.

  • and CI / CD tools. Experience in data orchestration & scheduling tools like Airflow, Control-M, Autosys, Tidal etc. Proven track record in building products on some production-grade systems.
  • Partner with Product Managers and Data Scientists to understand customer requirements and design prototypes and bring ideas to production.

    Passionate, curious, self-starter and innovate mentality. Hands-on knowledge of salesforce products and functionalities a plus.

    Effective presentation skills required to drive strategic discussions at various levels in the organization. Experience with Sales and Marketing data is a huge plus

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