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Senior Data Engineer
1 month ago
Role : Senior Data Engineer
5+ Years, Description :
What You Will Do :
- Design and develop the data platform to efficiently and cost effectively address various data needs across the business.
- Build software across our entire cutting-edge data platform, including event driven and batch data processing, storage, and serving through various data integration techniques such as APIs, Lambda, File Feeds etc.
- Develop and maintain data integrations including direct digital marketing, social channels, etc.
- Ingest, process massive campaign datasets to analyze the campaign performance.
- 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.
- 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.
- 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.
- Develop and enforce data engineering, security, data quality standards through automation.
- Participate in supporting platform 24X7.
- Be passionate about growing a team - hire and mentor engineers and analysts.
What You Will Need :
- Bachelor's degree in computer science or similar discipline.
- 5+ years of experience in software engineering
- 5+ years of experience in data engineering.
- 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 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 OLAP databases such as Snowflake or Redshift.
- Expertise in SQL, Spark SQL, Hive etc.
- 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.
- No-SQL (Apache Cassandra, DynamoDB or similar) is a huge plus.
- 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, and Tableau is preferred.
- Cloud (AWS) experience is preferred.
- Ability to learn and teach new languages and frameworks.
- Excellent data analytical skills
- Direct to consumer digital business experience preferred.
- Strong interpersonal, communication and presentation skills. (ref:hirist.tech)
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