Big Data Engineer jobs in Hyderabad at DHOORJA SRI SOLUTIONS PRIVATE LIMITED

Looking for Big Data Engineer for our reputed client

Responsibilities

Develop and maintain data pipelines using ETL processes
Take responsibility for Apache Hadoop development and implementation
Work closely with data science team to implement data analytics pipelines
Help define data governance policies and support data-versioning processes
Maintain security and data privacy, working closely with data protection officer
Analyse vast number of data stores to uncover insights
Design the architecture of our big data platform
Perform and oversee tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries
Design and implement data stores that support the scalable processing and storage of our high-frequency data
Maintain our data pipeline
Customize and oversee integration tools, warehouses, databases, and analytical systems
Configure and provide availability for data-access tools used by all data scientists

Required skills and qualifications

· 3 to 5 years of relevant data engineering experience

Degree in computer science, mathematics, or engineering or PG
Expertise in ETL methodology for corporate-wide solution design using DataStage
Experience with Python, Spark, and Hive
Understanding of data-warehousing and data-modelling techniques
Knowledge of industry-wide visualization and analytics tools (ex: Tableau, R)
Strong data engineering skills with Azure cloud platform
Experience with streaming frameworks such as Kafka
Knowledge of Core Java, Linux, SQL, and any scripting language
Good interpersonal skills and positive attitude
Experience working in an agile environment
Familiarity with the Hadoop ecosystem

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Dhoorja Sri Solutions Pvt Ltd is a pioneering Human Capital Management (HCM) solutions company that provides manpower sourcing services for organizations across the globe.

We has versatile industry experience in implementing solutions with a focus on innovation, quality, and analytical approach that addresses typical business scenarios.

We ensure the highest level of technological excellence, design thinking-led innovation, and strategic engagement models to deliver sustained long-term value to the customers