Posted:1 day ago|
Platform:
Work from Office
Full Time
Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
Integrate data from multiple sources, including APIs, third-party services and on-prem/cloud databases to create unified and consistent datasets for analytics and reporting.
Collaborate with data scientists, analysts and business stakeholders to understand their data needs, develop data solutions and enable self-service analytics.
Develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies to streamline data ingestion and transformation.
Optimize data storage and retrieval strategies in cloud-based data warehouses such as AWS Redshift, Google Big Query, or Azure Synapse, ensuring scalability and cost-efficiency.
Maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes.
Thoroughly tests code to ensure accuracy and alignment with its intended purpose. Reviews the final product with end users to confirm clarity and understanding, providing data analysis guidance as needed.
Offers tool and data support to business users and team members, ensuring seamless functionality and accessibility.
Conducts regression testing for new software releases, identifying issues and collaborating with vendors to resolve them and successfully deploy the software into production.
A team player with strong analytical, communication and interpersonal skills
Constantly updating yourself aboutnewtechnologiesin the market
A winning personality and the ability to become a trusted advisor to the stakeholders
Minimum 3 years of relevant work experience, with at least 1 year in designing and maintaining data pipelines, ETL processes and database architectures.
Bachelors degree (B.E./B.Tech) in Computer Science or IT, or Diploma in Data Science, Statistics, or related field.
Strong proficiency in SQL, Python, or Scala for data manipulation, automation and pipeline development.
Experience working with big data processing frameworks such as Apache Spark, Hadoop, or Kafka.
Hands-on experience with cloud-based data platforms such as AWS (Redshift, Glue), Google Cloud (Big Query, Dataflow), or Azure (Synapse, Data Factory).
Strong verbal and written communication, facilitation, relationship-building,presentationand negotiation skills.
Be highly flexible, adaptable, and creative.
Comfortable interacting with senior executives (within the firm and at the client)
Strong teamwork, work ethic, product mindset, clientcentricityand a relentless commitment to EY values.
We offer a competitiveremunerationpackage whereyoullbe rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and withFlexEYyou can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
Support,coachingand feedbackfrom some of the most engaging colleagues around
Opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a waythatsright for you
EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionalscan be requiredto travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
As a global leader in assurance, tax,transactionand advisory services,wereusing the finance products,expertiseand systemswevedeveloped to build abetterworking world. That starts with a culture that believes in giving you the training,opportunitiesandcreativefreedom to make things better.Whenever you join, however long you stay, theexceptionalEY experience lasts a lifetime.
If you can confidentlydemonstratethat you meet the criteria above, please contact us as soon as possible.
Make your mark.
Apply now.
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