Bigdata Engineer -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 Details Originally posted on Himalayas