Lead Tableau Developer

Company Description

Epsilon is the leader in outcome-based marketing. We enable marketing that's built on proof, not promises. Through Epsilon PeopleCloud, the marketing platform for personalizing consumer journeys with performance transparency, Epsilon helps marketers anticipate, activate and prove measurable business outcomes. Powered by CORE ID, the most accurate and stable identity management platform representing 200+ million people, Epsilon's award-winning data and technology is rooted in privacy by design and underpinned by powerful AI. With more than 50 years of experience in personalization and performance working with the world's top brands, agencies and publishers, Epsilon is a trusted partner leading CRM, digital media, loyalty and email programs. Positioned at the core of Publicis Groupe, Epsilon is a global company with over 8,000 employees in over 40 offices around the world.

For more information, visit (APAC). Follow us on Twitter at @EpsilonMktg.

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Job Description

The Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative thinkers develop and build products that help Epsilon be a market differentiator. They map the future and set new standards for our products, empowered with industry best practices, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilon's success story.

Candidate will be the Senior Software Engineer for Business Intelligence team in the Product Engineering group. The Business Intelligence team partners with internal and external clients and technology providers, to develop, implement, and manage state-of-the-art data analytics, business intelligence and data visualization solutions for our marketing products. The Sr Software Engineer will be an individual with strong technical expertise on business intelligence and analytics solutions/tools and work on the BI strategy in terms of toolset selection, report and visualization best practices, team training, and environment efficiency.

Why we are looking for you

You are an individual with combination of technical leadership and architectural design skills.

1. You have a solid foundation in business intelligence and analytics solutions/tools.
2. You have experience in Product Engineering & Software Development using Tableau and SAP Business Objects, Kibana Dashboard development.
3. You have experience in data integration tools like Databricks.
4. You excel at collaborating with different stakeholders (ERP, CRM, Data Hub and Business stakeholders) to success.
5. You have a strong experience of building reusable database components using SQL queries
6. You enjoy new challenges and are solution oriented.
7. You like mentoring people and enable collaboration of the highest order

What you will enjoy in this role

1. As part of the Epsilon Product Engineering team, the pace of the work matches the fast-evolving demands of Fortune 500 clients across the globe.
2. As part of an innovative team that's not afraid to take risks, your ideas will come to life in digital marketing products that support more than 50% automotive dealers in the US.
3. The open and transparent environment that values innovation and efficiency.
4. Exposure to all the different Epsilon Products where reporting plays a key role for the efficient decision-making abilities to the end users.

What you will do

1. Work on our BI strategy in terms of toolset selection, report and visualization best practices, team training, and environment efficiency.
2. Analyze requirements and design data analytics and enterprise reporting solutions in various frameworks (such as Tableau, SAP Business Objects, and others) as part of the enterprise, multi-tier, customer-facing applications.
3. Strong technical hands-on to develop data analytics solutions and enterprise reporting solutions in frameworks (such as Tableau, SAP Business Objects, and Kibana). Good to have scripting skills on Python.
4. Build data integration & aggregate pipelines using Databricks.
5. Provide estimates for BI solutions to be developed and deployed.
6. Develop and support cloud infrastructure for BI solutions including automation, process definition and support documentation as required.
7. Work in an agile environment and align with agile / scrum methodology for development work.
8. Follow Data Management processes and procedures and provide input to the creation of data definitions, business rules and data access methods.
9. Collaborate with database administrators and data warehouse architects on data access patterns to optimize data visualization and processing.
10. Assess and come up with infrastructure design for BI solutions catering to system availability and fault tolerance needs. Establish best practices of workloads on multi-tenant deployments.
11. Document solutions and train implementation and operational support teams.
12. Assess gaps in solutions and make recommendations on how to solve the problem.
13. Understand the priorities of various projects and help steer organizational tradeoffs to help focus on the most important initiatives.
14. Show initiative and take responsibility for decisions that impact project and team goals

Qualifications

1. BE/ B. Tech/ MCA only, No correspondence course
2. 9- 12 years of overall technical hands-on experience with good to have supervisory experience
3. Experience in developing BI solutions in enterprise reporting frameworks
4. Experience in designing semantic layer in reporting frameworks and developing reporting model on an OLTP or OLAP environment.
5. Experience working with large data sets, both structured & unstructured, Datawarehouse and Data lakes.
6. Strong knowledge in multitenancy concepts, object, folder and user group templates and user access models in BI reporting tool frameworks, including single sign-on integrations with identity and access management systems such as Okta.
7. Experience in performing periodic sizing, establishing monitoring, backup and restore procedures catering to MTTR and MTBF expectations.
8. Working knowledge of OLTP and relational database concepts and data warehouse concepts/best practices and data modeling
9. Experience in documenting technical design and procedures, reusable artifacts and provide technical guidance as needed.
10. Familiarity with cloud stack (AWS, Azure) & cloud deployments and tools
11. Ability to work on multiple assignments concurrently.