Senior Data Engineer

Education: Top Tie one college

We are growing rapidly and seeking a strong Data Engineer to be a key member of

the Data and Business Intelligence organization with a focus on deep data engineering

projects. You will be joining as one of the few initial data engineers as part of the data

platform team in our Bengaluru office. You will have an opportunity to help define our

technical strategy and data engineering team culture in India.

You will design and build data platforms and services while managing our data

infrastructure in cloud environments that fuels strategic business decisions across

products.

A successful candidate will be a self-starter, who drives excellence, is ready to jump into

a variety of big data technologies & frameworks, and is able to coordinate and

collaborate with other engineers, as well as mentor other engineers in the team

What You'll Be Doing

- Build highly scalable, available, fault-tolerant distributed data processing systems

(batch and streaming systems) processing over 100s of terabytes of data ingested

every day and petabyte-sized data warehouse and elasticsearch cluster.

- Build quality data solutions and refine existing diverse datasets to simplified

models encouraging self-service

- Build data pipelines that optimize on data quality and are resilient to poor quality

data sources

- Own the data mapping, business logic, transformations and data quality

- Low level systems debugging, performance measurement & optimization on large

production clusters

- Participate in architecture discussions, influence product roadmap, and take

ownership and responsibility over new projects

- Maintain and support existing platforms and evolve to newer technology stacks

and architectures

We're excited if you have

- Proficiency in Python and pyspark

- Deep understanding of Apache Spark, Spark tuning, creating RDDs, and building

data frames. Create Java/ Scala Spark jobs for data transformation and

aggregation.

- Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka,

Spark, Airflow, Presto, etc.

- Experience in building distributed environments using any of Kafka, Spark, Hive,

Hadoop, etc.

- Good understanding of the architecture and functioning of Distributed database

systems

- Experience working with various file formats like Parquet, Avro, etc for large

volumes of data

- Experience with one or more NoSQL databases

- Experience with AWS, GCP

- 5+ years of professional experience as a data or software engineer