Job Responsibilities
- As an integral part of the Data Platform team, take ownership of multiple modules from design to deployment.
- Extensively build scalable, high-performance distributed systems that deal with large data volumes.
- Provide resolutions and/ or workaround to data pipeline related queries/ issues as appropriate
- Ensure that Ingestion pipelines that empower the Data Lake and Data Warehouses are up and running.
- Collaborate with different teams in order to understand / resolve data availability and consistency issues.
- Exhibit continuous improvement on problem resolution skills and strive for excellence
What are we looking for?
- Overall 4 - 8 years of experience in software industry with minimum 3 - 4 years on Big Data and related tech stacks. Preferably from ecommerce companies.
- Strong Java core programming skills.
- Good to have programming skills in Python and Scala.
- Good design and documentation skills.
- Would have worked on Data at scale.
- Ability to read and write SQL - and understanding of one of Relational Databases such as MySQL, Oracle, Postgres, SQL Server.
- Development experience using Hadoop, Spark, Kafka, Map-Reduce, Hive, and any NoSQL databases like HBase.
- Exposure to tech stacks like Flink, Druid etc.
- Prior exposure to building real time data pipelines would be an added advantage.
- Comfortable with Linux with ability to write small scripts in Bash/Python. Ability to grapple with log files and unix processes.
- Prior experience in working on cloud services, preferably AWS.
- Ability to learn complex new things quickly
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