
Senior Big Data Engineer (Python, GCP)
Job Description
Posted on: May 25, 2025
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 Excellence's data consulting and data engineering branch. Hundreds of data engineers and architects nowadays build data and 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. IF YOU ARE
- A Big Data Engineer focused on designing and building scalable data pipelines
- Experienced in both batch and streaming data processing
- Proficient in SQL and Python
- Experienced in data engineering on Google Cloud Platform (GCP)
- Skilled in tools such as Apache Spark (GCP Dataproc), Cloud Dataflow, or Apache Beam
- Familiar with orchestration tools like Apache Airflow, Cloud Composer, or Amazon MWAA
- Experienced with Google BigQuery and other GCP-native services such as Memorystore for Redis and CloudSQL
- Comfortable using dbt or Dataform for data transformation
- Familiar with AWS services, including S3, Redshift, RDS, EMR, or Athena in a migration context
- Confident with cloud-agnostic technologies like PostgreSQL, MySQL, SQL Server, Kafka, and PySpark
- Knowledgeable in NoSQL technologies such as Cassandra and Aerospike
- Capable of working with Databricks GCP and Snowflake GCP workloads in cloud-to-cloud migration scenarios
AND YOU WANT TO
- Be part of a data-focused engineering team migrating large-scale systems from AWS to GCP
- Work with a modern technology stack, including BigQuery, Dataflow, Dataproc (Serverless), Cloud Run, and Composer
- Collaborate with experts on re-architecting and optimizing cloud-native data platforms
- 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
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
Apply now
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