AWS Data Engineer Job Openings in Pune 2026!!!
Barclays announced job vacancy for the post of AWS Data Engineer.The place of posting will be at Pune.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | Barclays |
| Required Qualifications | Graduate |
| Skills | Python & Pyspark and Strong knowledge on Dataframes, RDD and SparkSQL |
| Category | Technology |
| Work Type | Onsite |
As an AWS Data Engineer, you are responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You’ll spearhead the evolution of their digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize their digital offerings, ensuring unparalleled customer experiences.
Job Details
Θ Positions: AWS Data Engineer
Θ Job Location: Pune
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: JR-0000111927
Roles and Responsibilities:
- To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
- Accountabilities
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
- Analyst Expectations
- To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
- Requires in-depth technical knowledge and experience in their assigned area of expertise
- Thorough understanding of the underlying principles and concepts within the area of expertise
- They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
Required Skills & Qualifications:
- Hands on experience in python and pyspark and strong knowledge on Dataframes, RDD and SparkSQL
- Experience in using Orchestration tools such as Apache Airflow or Snowflake
- Hands on Experience in developing, testing and maintaining applications on AWS Cloud.
- Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena)
- Design and implement scalable and efficient data transformation/storage solutions using Snowflake.
- Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc
- Experience in Writing advanced SQL and PL SQL programs.
- Experience in AWS data pipeline development.
- Hands On Experience for building reusable components using Snowflake and AWS Tools/Technology
- Should have worked at least on two major project implementations.
- Experience in using Orchestration tools such as Apache Airflow or Snowflake
- Knowledge on Abinitio ETL tool is a plus
Some other highly valued skills may include:
- Ability to engage with Stakeholders, elicit requirements/ user stories and translate requirements into ETL components
- Ability to understand the infrastructure setup and be able to provide solutions either individually or working with teams.
- Good knowledge of Data Marts and Data Warehousing concepts.
- Resource should possess good analytical and Interpersonal skills.
- Implement Cloud based Enterprise data warehouse with multiple data platform along with Snowflake and NoSQL environment to build data movement strategy.
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