Skills and Qualifications

- Must have at least 3-5 years of experience in Data Hadoop Eco-system and it’s various components.

- Must have extensively worked with Python, Spark and Hive along with RDMS Systems.

- Understanding of data warehousing and data modelling techniques

- Knowledge of industry-wide analytical and visualization tools (i.e. Tableau etc.)

- Preferred to have knowledge of HBase, Kafka, ZooKeeper, or other Apache software

- Knowledge of core Java, UNIX,Linux, SQL, ORACLE and any scripting language

- Good interpersonal skills and positive attitude

Preferred Qualifications

- Degree in computer sciences, maths or engineering

- Expertise in ETL methodology of Data Extraction, Transformation and Load processing in corporate wide ETL solution design using Data Stage

Job Description:

Objectives of this Role :

- Develop and implement data pipelines that extracts, transforms and loads data into an information product that helps to inform the organization

in reaching strategic goals

- Work on ingesting, storing, processing and analyzing large data sets from RDBMS (Oracle/SQL/MySQL etc.) systems.

- Translate complex technical and functional requirements into detailed designs

- Investigate and analyze alternative solutions to data storing, processing etc. to ensure most streamlined approaches are implemented

Daily and Monthly Responsibilities :

- Develop and maintain data pipelines implementing ETL processes

- Build, operate, monitor, and troubleshoot Hadoop infrastructure.

- Write software to interact with HDFS and MapReduce.

- Take responsibility for Hadoop Eco-system development and implementation.

- Work closely with a data science team implementing data analytic pipelines

- Maintain security and data privacy working closely with Data Protection Officer internally

- Analyse a vast number of data stores and uncover insights

- Write software to ingest data into Hadoop ecosystem.

- Assess requirements and evaluate existing solutions.

- Develop documentation and playbooks to operate Hadoop infrastructure.