Lead Data Engineer

What You’ll Be Doing:

• Own the architecture and roadmap for scalable, secure, and high-quality data pipelines and platforms.
• Lead and mentor a team of data engineers while establishing engineering best practices, coding standards, and governance models.
• Design and implement high-performance ETL/ELT pipelines using modern Big Data technologies for diverse internal and external data sources.
• Drive modernization initiatives including re-architecting legacy systems to support next-generation data products, ML workloads, and analytics use cases.
• Partner with Product, Engineering, and Business teams to translate requirements into robust technical solutions that align with organizational priorities.
• Champion data quality, monitoring, metadata management, and observability across the ecosystem.
• Lead initiatives to improve cost efficiency, data delivery SLAs, automation, and
  infrastructure scalability.
• Provide technical leadership on data modeling, orchestration, CI/CD for data workflows, and cloud-based architecture improvements.

Qualifications:

• Bachelor’s degree in Engineering, Computer Science, or relevant field.
• 8+ years of relevant and recent experience in a Data Engineer role.
• 5+ years recent experience with Apache Spark and solid understanding of the
  fundamentals.
• Deep understanding of Big Data concepts and distributed systems.
• Demonstrated ability to design, review, and optimize scalable data architectures across ingestion.
• Strong coding skills with Scala, Python and the ability to quickly switch between them with ease.
• Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.
• Cloud Experience with DataBricks.
• Strong understanding of Delta Lake architecture and working with Parquet, JSON, CSV, and similar formats.
• Experience establishing and enforcing data engineering best practices, including CI/CD for data, orchestration and automation, and metadata management.
• Comfortable working in an Agile environment.
• Machine Learning knowledge is a plus.
• Demonstrated ability to operate independently, take ownership of deliverables, and lead technical decisions.
• 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: 10:00 AM – 07:00 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.