B.Tech, BE Graduates Vacancy at Barclays

Overview:

Barclays is hiring an experienced Data Engineer Batch at their Pune location.

The complete details of this job are as follows:-

Roles and responsibilities:

The ideal candidate should be able to:

• Development & Testing of complex ETL components using Ab-Initio
• E2E Ab-Initio Batch ETL Applications Implementation
• Effective integration with upstream and downstream processes and systems
• Good understanding of Data modelling and Application Life Cycle control process
• E2E ownership of ETL developed application
• Ability to provide technical help to team members and participate and contribute to relevant technical standards
• Ability to learn quickly other technology like Python, Spark, Scala and other Cloud Tech skills etc.
• Work in collaboration with infrastructure and IT team to design, create and maintain optimal data pipeline architecture and data structures for data lake/data warehouse
• Build the infrastructure required for optimal extraction, transformation, and loading of data from variety of data sources using Ab-Initio ETL Technologies
• Work with stakeholders including the executives, Product, Data and Design teams to assist with data related technical issues and support their data analytical needs
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from complex multiple internal systems
• Adhere to good code practice within an agile environment with DevOps approach to development and implementation
• Contribute broadly to data engineering development work
• Provide database design, development and implementation support
• Develop Data Ingest Techniques from multiple data sources
• Develop Training Materials and provide training to internal IT and business users
• Learn new tools and expand big data functionalities by implementing additional Hadoop and Spark ecosystem components to meet evolving business needs
• Research emerging development technologies, products and processes
• Responsible for creating work estimate, technical projects plans and implementation plan
• Conceptualize and quickly build POC for new product ideas – should perform well as an individual contributor and work with other data engineers and team members
• Lead and champion key activities to enhance the wider Technology team culture such as but not limited to: Citizenship, Knowledge, Process & Tools, Resource Assignment Management, Recruitment & Onboarding, Professional Development, Culture, and Unified PM.
• Responsible for co-ordinating, participating in, and is responsible for, the work of a team of managed services/ contractors on a need basis.
• Making effective use of resources during the various stages of the work, ensuring that business objectives are met and deliverables achieved to agreed time, and quality
• Providing advice, guidance and assistance to less experienced colleagues (as required).
• Putting in place mechanisms and procedures for the structured review of work produced and ensuring that these are adhered to.
• Establishing and maintaining agreed standards applicable to the work undertaken and ensuring that these, and other mandatory standards and architectures, are adhered to.
• Building and maintaining an expert understanding of the various stages of software development, enhancements, and support (where required).
• Providing guidance and assistance to colleagues in any aspect of programme design, creation, testing and documentation.
• Interfacing with other teams, sharing technical knowledge and expertise and resolving issues as necessary. Acting as a point of reference for both internal and external technical queries.
• Assisting with the implementation of operational objectives for relevant team/programme.
• Supporting the implementation of strategy and policy issues by involvement in development/change and/or advice to other technical areas and making recommendations to improve procedures and working practices.
• Taking part in evaluations and reviews of programming methods, tools and standards.

The ideal candidate should also have:

• Excellent oral communication and written skills and stakeholder management skills
• Good understanding of banking/financial domain
• Strong analytical skills and aptitude for problem solving
• Able to work to deadlines and cope with fast changing situations and define priorities
• Able to lead technical team and solve technical and general issues

Eligibility:

• Expertise in Ab-Initio (Batch) & ETL Design /Solution skills along with performance enhancement knowledge
• Expertise in SQL and Data Analysis
• Strong knowledge of data and analytics, such as dimension modelling, ETL (Ab-Initio), reporting tools, data governance, data warehousing, structured and unstructured data.
• Passionate about Agile Software processes, data-driven development, reliability and experimentation
• Experience developing and maintaining data warehouse in big data solutions using Ab-Initio Technologies
• Experience with batch and real time data processing tools and technologies (i.e. Kafka, Spark, Cloud data streaming tools)
• Desirable skills/Preferred Qualifications:
• B.E./B.Tech in Computer Science, Engineering or related degrees
• Work experience with R, Python, Scala and Pandas or similar programming knowledge is plus
• Experience with relational database such as Oracle, SQL Server, Teradata
• Big data knowledge including Hive, Impala, HDFS, Scala
• Knowledge of conducting various POC’s for new product development using different tech skills

To Apply for this Job Click Here

Disclaimer:

The Recruitment Information provided above is for informational purposes only. The above Recruitment Information has been taken from the official site of the Organisation. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company or organization posted the recruitment Vacancy. We don’t charge any fee for providing this Job Information. Neither the Author nor Studycafe and its Affiliates accepts any liabilities for any loss or damage of any kind arising out of any information in this article nor for any actions taken in reliance thereon.