Lead Software Engineer

Location: Bangalore

About LeadSquared

One of the fastest growing SaaS companies in the CRM space, LeadSquared empowers organizations with the power of automation. More than 2100 customers with 2 lakhs+ users across the globe utilize the LeadSquared platform to automate their sales and marketing processes and run high velocity sales at scale. We are backed by prominent investors such as WestBridge Capital, Stakeboat Capital, and Gaja Capital to name a few. We are expanding rapidly and our 1000+ strong and still growing workforce is spread across India, the U.S, Middle East, ASEAN, ANZ, and South Africa.

• Among Top 50 fastest growing tech companies in India as per Deloitte Fast 50 programs
• Frost and Sullivans 2019 Marketing Automation Company of the Year award
• Among Top 100 fastest growing companies in FT 1000: High-Growth Companies Asia Pacific
• Listed as Top Rates Product on G2Crowd, GetApp and TrustRadius
  
  

Engineering @ LeadSquared

At LeadSquared, we like being up to date with the latest technology and utilize the trending tech stacks to build our product. By joining the engineering team, you get to work first-hand with the latest web and mobile technologies and solve the challenges of scale, performance, security, and cost optimization.

Our goal is to build the best SaaS platform for sales execution in the industry and what better place than LeadSquared for an exciting career?

T he Role

We are seeking a highly skilled and motivated Lead Data Engineer to design, develop, and optimize our critical data infrastructure. You will play a pivotal role in building scalable batch and real-time data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver impactful data solutions. If you are passionate about data, possess strong technical skills, and thrive in a collaborative environment, we encourage you to apply.

Responsibilities

• Design, implement, and optimize robust batch and real-time data pipelines using technologies such as Spark, Python, and Airflow.
• Leverage AWS native tools (e.g., S3, EMR, Glue) effectively to build and manage scalable data solutions.
• Collaborate cross-functionally with data scientists, data analysts, product managers, and engineering teams to gather requirements, deliver high-quality data solutions, and ensure overall project success.
• Lead initiatives focused on enhancing data quality, establishing data governance frameworks, implementing robust security measures, and setting up comprehensive data monitoring systems.
• Evaluate, recommend, and integrate various cloud, big data, and DataOps tools, including SQL/NoSQL databases, streaming systems, workflow orchestration platforms, and observability tools.
  
  

Required Qualifications

• 5+ years of practical experience in data pipeline development, encompassing both batch and streaming processes.
• Advanced knowledge and hands-on experience with Spark, Python, and SQL.
• Proven expertise in designing and implementing ETL/ELT processes.
• Strong practical experience with AWS (specifically EMR, S3, Glue) or other major cloud platforms (e.g., Azure, GCP).
• Solid understanding and experience with data modeling, data warehousing concepts, and metadata management.
• Demonstrated problem-solving abilities, strong analytical skills, and a highly collaborative mindset.
  
  

Preferred Qualifications

• Experience with CI/CD pipelines and MLOps lifecycle.
• Exposure to NoSQL databases, data lake architectures, or streaming technologies (e.g., Kafka, Kinesis).
• Experience utilizing API tools such as Postman and Swagger.
• Awareness and understanding of data security, privacy, and compliance best practices.

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