大数据工程师- Spark

Category: Technology

Location:

Responsibilities:

• As a developer, possess excellent Knowledge of distributed computing architecture, core hadoop component (HDFS, Spark, Yarn, Map-Reduce, H base, HIVE, Impala) and related technologies.

• Technical Design and development of ETL/Hadoop and Analytics services /components

• Contribute in end to end architecture and process flow

• Understand Business requirement and publish reusable designs

• Result oriented approach with ability to provide apt solutions.

• Proficient in performance improvement & fine-tuning ETL and Hadoop implementations

• Conduct code reviews across projects. Takes responsibility for ensuring that build and code adhere to architectural and quality standards and policies.

• Can work independently with minimum supervision.

• Strong analytical and problem solving skills

• Experience/Exposure to SQL, advanced SQL skills

Requirements

Skills Set:

• Strong understanding of distributed computing architecture, core hadoop component (HDFS, Spark, Yarn, Map-Reuduce, H base, HIVE, Impala) and related technologies.

• Hands on experience with batch data ingestion (Sqoop)

• Expert level understanding of relational data structure and RDBMS as well as NoSQL databases (Cassandra, MongoDB, Elasticsearch)

• Experience with automation/Scheduling of workflows/jobs (via shell-scripting, Tivoli)

• Solid Grasp of data storage formats (Parquet, Avro, HBase, Cassandra)

• Understanding of Agile methodologies as well as SDLC life-cycles and processes.

• Strong Understanding of Data warehousing and lakes

DetailsOriginally posted on Himalayas