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Lead Data Engineer - Big Data
The vacancy has expired
- LocationBangalore, India
-
IndustryInternet
Job Description
Technical Responsibilities
- The candidate will be in a solution focused role responsible for providing technical solutions, working both independently on assigned projects, and collaboratively with other team members.
- Collaborate with architects, business users, source (data) team members for discovering data sources and tech feasibility for fetching the same into the consolidated data environment/platform.
- Iteratively design and build core components of our Data Platform (Hortonworks Big Data implementations with ecosystem products such as Kafka, Spark Streaming, Hive, Sqoop, MySQL, Druid, ELK etc.)
- Take ownership of design & development processes, ensuring incorporation of best practices, sanity of code and versioning into different environments through tools like git etc.
- Ability to draw intelligence from structured, non structured, large and complex data sets to meet functional and non functional business requirements.
- Proven ability to operate in mix mode of incremental development, production support and support to business for their impromptu data quests.
- Developing, debugging BigData systems.
- Collaborate effectively with cross-functional teams such as Product, Business.
Experience and Skill Requirements
- Minimum 7 years of relevant experience in the Big Data Technologies.
- Excellent knowledge of RDBMS and NoSQL databases.
- Should be able to work with all variants of SQL.
- Proficient in ETL (extract, transform, load).
- Hands-on experience of big data technologies such as Spark(Streaming), Hive, Elastic Search , Logstash, etc.
- Should have experience with Data mining and analytics.
- Strong problem solving and analytical skills (especially around the areas of performance, scalability on the above mentioned technologies).
- Experience in ML would be a pro.
- Kafka, Nifi, Cloud Experience, Spark, Python, ELK stack.
Requirements
Any Other Requirements
- Understanding of Linux systems like Ubuntu, Debian.
- Understanding of Apache Nifi, MongoDB, Cassandra, Google Data Studio, etc.
- Sound knowledge of cloud platforms like AWS, Azure, Google Cloud, etc.
- Sound knowledge of CDNs like CloudFront, Akamai, Cloudflare, etc.
- Experience in working in an Agile environment with good communication skills.
- Passion to learn new technologies and to upgrade versions of technology.
- Experience with project management tools like JIRA, Confluence, etc.
