JOB OVERVIEW:
The Senior Data Engineer will be responsible for building and extending our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys working with big data and building systems from the ground up.
You will collaborate with our software engineers, database architects, data analysts and data scientists to ensure our data delivery architecture is consistent throughout the platform. You 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 optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
What You’ll Be Doing:
- Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing 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.
- Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system.
Qualifications:
- Bachelor’s degree in Engineering, Computer Science, or relevant field.
- 6+ years of relevant and recent experience in a Data Engineer role.
- 3+ years recent experience with Apache Spark and solid understanding of the
fundamentals.
- Deep understanding of Big Data concepts and distributed systems.
- Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.
- Advanced working SQL knowledge.
- Cloud Experience with DataBricks.
- Strong understanding of Delta Lake architecture and working with Parquet, JSON, CSV, and similar formats.
- Comfortable working in a linux shell environment and writing scripts as needed.
- Comfortable working in an Agile environment.
- Machine Learning knowledge is a plus.
- Must be capable of working independently and delivering stable, efficient and reliable software.
- Excellent written and verbal communication skills in English.
- Experience supporting and working with cross-functional teams in a dynamic
environment.
REPORTING: This position will report to Sr. Technical Manager or Director of Engineering as assigned by Management.
EMPLOYMENT TYPE: Full-Time, Permanent
LOCATION: Remote (Pan India)
SHIFT TIMINGS: 11:00 AM – 08:00 PM IST
WHO WE ARE:
SalesIntel is the top revenue intelligence platform on the market. Our combination of automation and researchers allows us to reach 95% data accuracy for all our published contact data, while continuing to scale up our number of contacts. We currently have more than 5 million human-verified contacts, another 70 million plus machine processed contacts, and the highest number of direct dial contacts in the industry. We guarantee our accuracy with our well-trained research team that re-verifies every direct dial number, email, and contact every 90 days. With the most comprehensive contact and company data and our excellent customer service, SalesIntel has the best B2B data available. For more information, please visit – www.salesintel.io
WHAT WE OFFER:
SalesIntel’s workplace is all about diversity. Different countries and cultures are represented in our workforce. We are growing at a fast pace and our work environment is constantly evolving with changing times. We motivate our team to better themselves by offering all the good stuff you’d expect like Holidays, Paid Leaves, Bonuses, Incentives, Medical Policy and company paid Training Programs.
SalesIntel is an Equal Opportunity Employer. We prohibit discrimination and harassment of any type and offer equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
