Data Engineering - Technical Lead

About the role

Data Engineering - Technical Lead About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Job Summary: Build systems for collection & transformation of complex data sets for use in production systems Collaborate with engineers on building & maintaining back-end services Implement data schema and data management improvements for scale and performance Provide insights into key performance indicators for the product and customer usage Serve as team's authority on data infrastructure, privacy controls and data security Collaborate with appropriate stakeholders to understand user requirements Support efforts for continuous improvement, metrics and test automation Maintain operations of live service as issues arise on a rotational, on-call basis Verify whether data architecture meets security and compliance requirements and expectations .Should be able to fast learn and quickly adapt at rapid pace. java/scala, SQL, Minimum Qualifications: Bachelor's degree in computer science, computer engineering or a related field, or equivalent Experience 6+ years of progressive experience demonstrating strong architecture, programming and engineering skills. Firm grasp of data structures, algorithms with fluency in programming languages like Java, Python, Scala. Strong SQL language and should be able to write complex queries. Strong Airflow like orchestration tools. Demonstrated ability to lead, partner, and collaborate cross functionally across many engineering organizations Experience with streaming technologies such as Apache Spark, Kafka, Flink. Backend experience including Apache Cassandra, MongoDB and relational databases such as Oracle, PostgreSQL AWS/GCP Solid hands on with 4+ years of experience. Strong communication and soft skills. Knowledge and/or experience with containerized environments, Kubernetes, docker. Experience in implementing and maintained highly scalable micro services in Rest, Spring Boot, GRPC. Appetite for trying new things and building rapid POCs" Key Responsibilities :Design, develop, and maintain scalable data pipelines to support data ingestion, processing, and storage Implement data integration solutions to consolidate data from multiple sources into a centralized data warehouse or data lake Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications Ensure data quality and integrity by implementing robust data validation and cleansing processes Optimize data pipelines for performance, scalability, and reliability. Develop and maintain ETL (Extract, Transform, Load) processes using tools such as Apache Spark, Apache NiFi, or similar technologies .Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal downtimeImplement best practices for data management, security, and complianceDocument data engineering processes, workflows, and technical specificationsStay up-to-date with industry trends and emerging technologies in data engineering and big data. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story! Noida, Uttar Pradesh

Key responsibilities

• check_circleCollaborate with the team on day-to-day project tasks
• check_circleLearn tools and processes used by the organization
• check_circleDocument work and participate in team meetings
• check_circleSupport quality checks and continuous improvement

Requirements

• check_circleRelevant education or self-taught skills for the role
• check_circleStrong willingness to learn and take feedback
• check_circleGood communication in English (written and verbal)
• check_circleAbility to commit to the internship/role duration

Skills & keywords

Benefits & perks

• check_circleMentorship
• check_circleCertificate of completion
• check_circleFlexible work arrangement where applicable