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Data Engineer

3 months ago

Pune, Maharashtra, India Worldline Full time
Data Engineer M2CPuneThis

is


WorldlineWe are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid.

The solutions our people build today power the growth of millions of businesses tomorrow. From your local coffee shop to unicorns and international banks. From San Francisco to Auckland. We are in every corner of the world, in every part of commerce.

And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers.

Together, we shape .The O

pportunityAt Worldline, our technology addresses the persistent challenges of the payment world.

We design and operate leading digital payment and transactional solutions that enable sustainable economic growth and reinforce trust and security in our societies.

If you are a highly skilled Product Owner who has a creative mind and passionate about delivering quality code, then get ready to join our company We are looking for Developer/Engineer to produce scalable software solutions in the Payments Domain.

You'll be part of a cross-functional team that's responsible for the full software development life cycle, from conception to deployment.

Day-to-Day Responsibilities

​We are seeking a highly skilled and knowledgeable Data Engineer to join our Data Management team on a transformative Move to Cloud (M2C) project. The ideal candidate will have a strong background in creating robust data ingestion pipelines and a deep understanding of ETL processes, particularly within the Google Cloud Platform ecosystem and using tools such as dbt Labs over BigQueryDevelop and maintain scalable and reliable data pipelines using PySpark and SQL to support the migration from Oracle's on-premises data warehouse (structured data source) and unstructured data sources to BigQuery.
Design and implement bulletproof data ingestion and integration processes that ensure data quality and consistency.
Use the dbt tool to create and manage ETL processes that transform and load data efficiently from/into BigQuery.

Ensure the resilience and efficiency of data transformation jobs that can handle large volumes of data within a cloud-based architecture.

Work closely with our Data Engineers to gather requirements for the currently developed data pipelines.

Provide expertise in GCP services like DataProc, DataFlow, Cloud Functions, Workflows, Cloud Composer, and Bigquery, advocating for best practices in cloud-based data management.

Collaborate with data architects and other stakeholders to optimize data models and warehouse design for the cloud environment.
Develop and implement monitoring, quality, and validation processes to ensure the integrity of data pipelines and data.

Document all data engineering processes and create clear specifications for future reference and complianceWho Are We Looking ForWe look for big thinkers.

People who can drive positive change, step up and show what's next – people with passion, can-do attitude and a hunger to learn and grow.


In practice this means:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum of 5 years of experience as a Data Engineer with a focus on Google cloud-based solutions.

Strong knowledge of versioning and CI/CD.Proficient in GCP services, with a strong emphasis on data-related products such as DataProc, DataFlow, Cloud Functions, Workflows, Cloud Composer, and Bigquery.

Extensive experience with ETL tools, particularly dbt Labs, and a clear understanding of ETL best practices.
Experience in building and optimizing data pipelines, architectures, and data sets from structured/unstructured data sources.
Strong analytical skills with the ability to understand complex requirements and translate them into technical solutions. Excellent problem-solving abilities and a commitment to quality.
Strong communication skills, with the ability to work collaboratively in a team environment.
Relevant certifications in the Google Cloud Platform or other data engineering credentials are desirable. Proficiency in SQL and Python with knowledge of Spark.
Fluent in English, with strong written and verbal communication skills.