Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.

Required Qualifications

• Bachelor’s degree in marketing, Business Analytics, Computer Science, Engineering, Statistics, Information Systems, or a related field.
• 5+ years of experience in marketing analytics, business intelligence, data analysis, or marketing operations.
• 3+ years of hands-on experience supporting B2B marketing organizations with reporting, campaign measurement, and analytics.
• Demonstrated experience owning enterprise marketing reporting ecosystems and KPI governance frameworks.
• Deep expertise in marketing attribution methodologies, email deliverability concepts, campaign tracking, and marketing performance measurement.
• Hands-on experience with marketing automation platforms, including Eloqua, is required.
• Advanced proficiency in SQL and experience working with large, complex datasets.
• Strong programming and data manipulation skills using Python.
• Hands-on experience with multiple BI and visualization platforms, including:
• Domo
• Snowflake
• Power BI
• Tableau
• Proven experience leading or supporting BI platform migrations and change management initiatives.
• Experience building and maintaining data models, ETL processes, and self-service analytics environments.
• Strong understanding of marketing data architecture, data governance, and metadata management.
• Excellent problem-solving skills with a strong attention to detail and commitment to data accuracy.
• Exceptional communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work independently, prioritize effectively, and manage multiple projects in a fast-paced environment.

Must-Have Qualifications

• 5+ years of experience in marketing analytics, business intelligence, or marketing operations.
• Proven ownership of marketing reporting infrastructure, KPI governance, and executive-level dashboards.
• Strong expertise in email marketing analytics, including deliverability, attribution, campaign tracking, and performance measurement.
• Hands-on experience with Eloqua and marketing automation ecosystems.
• Advanced SQL and Python skills for data extraction, transformation, analysis, and automation.
• Expert-level proficiency with Snowflake and at least two enterprise BI platforms, including Domo, Power BI, and Tableau.
• Demonstrated success leading BI platform migrations and reporting modernization initiatives.
• Experience partnering with marketing, marketing operations, IT, and data engineering teams.
• Strong understanding of data quality frameworks, governance, and reporting best practices.

Nice-to-Have Qualifications

• Experience with Salesforce CRM, Salesforce Marketing Cloud, HubSpot, Marketo, or similar platforms.
• Experience with modern data stack technologies, including dbt, Alteryx, or data orchestration tools.
• Knowledge of account-based marketing (ABM) measurement and customer journey analytics.
• Experience implementing self-service analytics programs.
• Familiarity with Agile methodologies and project management frameworks.
• Experience working within a global B2B technology organization.

Work Mode: Hybrid

Need B.Tech, BE, M.Tech, ME candidates - Mandatory

Must-Have Skills:

● Educational Qualification :- B.Tech, BE, M.Tech, ME in any field.

● Minimum of 3 years of proven experience as a Data Engineer.

● Strong proficiency in Python programming language and SQL.

● Experience in DataBricks and setting up and managing data pipelines, data warehouses/lakes.

● Good comprehension and critical thinking skills.

● Kindly note Salary bracket will vary according to the exp. of the candidate - 

- Experience from 4 yrs to 6 yrs - Salary upto 22 LPA

- Experience from 5 yrs to 8 yrs - Salary upto 30 LPA

- Experience more than 8 yrs - Salary upto 40 LPA

Role overview:

• Must have About 5 - 11 years and at least 3 years relevant experience with Bigdata. 
• Must have Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amounts of data. 
• Must have experience in Hadoop, Hive, Spark with Scala with good experience in performance tuning and debugging issues.
• Good to have any stream processing Spark/Java Kafka. 
• Must have experience in design and development of Big data projects.
• Good knowledge in Functional programming and OOP concepts, SOLID principles, design patterns for developing scalable applications. 
• Familiarity with build tools like Maven. 
• Must have experience with any RDBMS and at least one SQL database preferably PostgresSQL
• Must have experience writing unit and integration tests using scaliest
• Must have experience using any versioning control system - Git 
• Must have experience with CI / CD pipeline – Jenkins is a plus  
• Basic hands-on experience in one of the cloud provider (AWS/Azure) is a plus
• Databricks Spark certification is a plus.

What would you do here:

As a Software Development Engineer 2 you will be responsible for expanding and optimising our data and data pipeline architecture as well as optimising data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline design and data wrangler who enjoys optimising data systems and building them from the ground up. The Data Engineer will lead our software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimising or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities:

•Create and maintain optimal data pipeline architecture

•Assemble large complex data sets that meet functional / non-functional business requirements.

•Identify design and implement internal process improvements: automating manual processes optimising data delivery, coordinating to re-design infrastructure for greater scalability etc.

•Work with stakeholders including the Executive Product Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

•Keep our data separated and secure

•Work with data and analytics experts to strive for greater functionality in our data systems.

- Support PROD systems

Position: Big Data Engineer

What You'll Do

Punchh is seeking to hire Big Data Engineer at either a senior or tech lead level. Reporting to the Director of Big Data, he/she will play a critical role in leading Punchh’s big data innovations. By leveraging prior industrial experience in big data, he/she will help create cutting-edge data and analytics products for Punchh’s business partners.

This role requires close collaborations with data, engineering, and product organizations. His/her job functions include

• Work with large data sets and implement sophisticated data pipelines with both structured and structured data.
• Collaborate with stakeholders to design scalable solutions.
• Manage and optimize our internal data pipeline that supports marketing, customer success and data science to name a few.
• A technical leader of Punchh’s big data platform that supports AI and BI products.
• Work with infra and operations team to monitor and optimize existing infrastructure 
• Occasional business travels are required.

What You'll Need

• 5+ years of experience as a Big Data engineering professional, developing scalable big data solutions.
• Advanced degree in computer science, engineering or other related fields.
• Demonstrated strength in data modeling, data warehousing and SQL.
• Extensive knowledge with cloud technologies, e.g. AWS and Azure.
• Excellent software engineering background. High familiarity with software development life cycle. Familiarity with GitHub/Airflow.
• Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark).
• Strong problem solving skills with demonstrated rigor in building and maintaining a complex data pipeline.
• Exceptional communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations.

• Looking for an experienced Integration specialist with a good expertise in ETL Informatica and a strong Application integration background
• Minimum of 3+ years relevant experience in Informatica MDM required. Powercenter is a core skill set.
• Having experience in a broader Informatica toolset is strongly preferred
• Should prove a very strong implementation experience in Application integration, should demonstrate expertise/presentation with multiple use cases
• Passionate coders with a strong Application development background
• Should have application development experience outside of ETL, (just learning ETL as a tool is not enough), experience in writing application outside of ETL will bring in more value
• Strong database skills with a strong understanding of data, data quality, data governance, understanding and developing standalone and integrated database layers (sql, packages, functions, performance tuning ), i.e. Expert with a strong integration background who has more application integration background than just an ETL Informatica tool
• Experience in integration with XML/JSON based and heavily involve JMS MQ (read/write)
• Experience in SOAP and REST based API's exchanging both XML and JSON files used for request and response
• Experience with Salesforce.com Integration using Informatica power exchange module is a plus but not needed
• Experience with Informatica MDM as a technology stack that is used for integration of senior market members with Salesforce.com is a plus but not needed,
• Very strong scripting background (C/bourne shell/Perl/Java)
• Should be able to understand JAVA, we do have development around JAVA, i.e ability to work around a solution in programming language like Java when implementation is not possible through ETL
• Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff.