Data Engineer

We need both Data engineer and Senior Data engineer with higher experience
Keywords to look for: AWS, Spark, Kafka, Big Data, Java / Scala / Python

The Daily
• Build software across our entire cutting-edge data platform, including event driven data processing, storage, and serving through scalable and highly available APIs, with awesome cutting-edge technologies.
• Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
• Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
• Ensure performance of the product by implementing and refining robust data processing, REST services and caching technologies.
• Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
• Work closely with data analysts and business stake holders to make data easily accessible and understandable to them.
• Ensure data quality by implementing re-usable data quality frameworks.
• Work closely with various other data engineering teams to roll out new capabilities.
• Help build and maintain foundational data products such as but not limited to Various conformed datasets, Consumer 360, data marts etc.
• Build process and tools to maintain Machine Learning pipelines in production.
• Develop and enforce data engineering, security, data quality standards through automation.
• Participate in supporting the platform 24X7.
• Be passionate about growing team - hire and mentor engineers and analysts.
• Be responsible for cloud cost and improving efficiency.

The Essentials
• Bachelor’s degree in computer science or Similar discipline.
• 5+ years of experience in software engineering
• 3+ years of experience in data engineering.
• 1+ years of experience in DS/ML
• Go above and beyond attitude.
• Ability to work in fast paced, high pressure, agile environment.
• Ability and willingness to learn any new technologies and apply them at work in order to stay ahead of the curve.
• Expertise in at least few programming languages - Java, Scala, Python or similar.
• Expertise in building and managing large volume data processing (both streaming and batch) platform is a must.
• Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar
• Expertise in building micro services and managing containerized deployments, preferably using Kubernetes
• Expertise in distributed data processing frameworks such as Apache Spark, Flink or Similar.
• Expertise in SQL and No-SQL – Apache Cassandra, DynamoDB, MySQL
• Expertise in OLAP databases such as Snowflake or Redshift.
• Experience in operationalizing and scaling machine models is a huge plus.
• Experience with variety of data Tools & frameworks (example: Apache Airflow, Druid) will be a huge plus.
• Experience with Analytics Tools such as Looker, Tableau is preferred.
• Cloud (AWS) experience is preferred
• Ability to learn and teach new languages and frameworks.
• Direct to consumer digital business experience preferred
• Advertising Tech domain expertise will be a huge plus.
• Strong interpersonal, communication and presentation skills.
• Strong team focus with outstanding organizational and resource management skills

Location: Chennai, currently remote due to COVID