Lead Data Engineer/Consultant @ SoftServe Remote

Lead Data Engineer/Consultant @ SoftServe

Remote

AND YOU WANT TO

• Be part of a data-focused engineering team migrating large-scale systems from Azure to GCP
• Contribute to a transformative data migration initiative moving critical reporting solutions to Google Cloud Platform (GCP)
• Be part of building the Next Generation Data Platform by designing ingestion, modeling, and curated layers supporting top-priority reports with minimal dependency on legacy systems
• Work on impactful solutions involving technologies such as GCP Datastream replication, BigQuery, Dataform SQL workflows with CI/CD in Azure DevOps, and Power BI integration
• Participate in the entire project lifecycle: from discovery and PoCs to MVPs and full production rollout
• Engage with customers ranging from global enterprises to innovative startups
• Continuously learn, share knowledge, and explore new cloud services
• Contribute to building a data platform that integrates batch, streaming, and real-time components
• Work in an environment that values technical ownership, code quality, and clean design

WE ARE

SoftServe is a global digital solutions company headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients across North America, EMEA, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.

Big Data & Analytics is the Center of Excellences data consulting and data engineering branch. Hundreds of data engineers and architects nowadays build data & analytics end-to-end solutions from strategy through technical design and proof of concepts to full-scale implementation. We have customers in the healthcare, finance, manufacturing, retail, and energy domains.

We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others.

TOGETHER WE WILL

• Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence
• Support your technical and personal growth — we have a dedicated career plan for all roles in our company
• Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe data community
• Upskill with full access to Udemy learning courses
• Pass professional certifications, encouraged and covered by the company
• Adopt best practices from experts while working in a team of top-notch engineers and architects
• Collaborate with world-leading companies and attend professional events

SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.

,[Be part of a data-focused engineering team migrating large-scale systems from Azure to GCP, Contribute to a transformative data migration initiative moving critical reporting solutions to Google Cloud Platform (GCP), Be part of building the Next Generation Data Platform by designing ingestion, modeling, and curated layers supporting top-priority reports with minimal dependency on legacy systems, Work on impactful solutions involving technologies such as GCP Datastream replication, BigQuery, Dataform SQL workflows with CI/CD in Azure DevOps, and Power BI integration, Participate in the entire project lifecycle: from discovery and PoCs to MVPs and full production rollout, Engage with customers ranging from global enterprises to innovative startups, Continuously learn, share knowledge, and explore new cloud services, Contribute to building a data platform that integrates batch, streaming, and real-time components, Work in an environment that values technical ownership, code quality, and clean design] Requirements: ELT, GCP, Data engineering Additionally: Sport subscription, Training budget, Private healthcare, International projects, Flat structure, Small teams, Free coffee, Canteen, Bike parking, Free snacks, Free parking, In-house trainings, Modern office, No dress code.

Kategorie

data

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