WE ARE

SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates are currently working on 2,000+ projects with clients in the USA, Europe, and APAC region. We are about people who create bold things, who make a difference, who have fun, and who love their work.

We are collaborating with one of the leading real estate agencies in the United States, a market leader and the number one franchise by sales volume. Our team of more than 100 professionals works closely with real estate experts, delivering data-driven solutions and modern analytics to support business growth and decision-making.

IF YOU ARE

Experienced as an Analytics Engineer with 3-5 years of commercial practice in data or analytics engineeringSkilled in Python for data processing, scripting, and automation tasksProficient in advanced SQL, including CTEs, window functions, query optimization, and stored proceduresAccustomed to cloud data warehouses: Google BigQuery, Snowflake, Redshift, or Azure SynapseVersed in working with GCP or another public cloud provider, with a clear understanding of cloud-based data platformsFamiliar with ETL/ELT frameworks and orchestration tools like Airflow, dbt, Dataflow, or custom Python pipelinesKnowledgeable in data validation, data profiling, and data quality assurance practicesConfident in collaborating with BI teams and supporting reporting tools such as Tableau, Power BI, or LookerAware of data modeling principles, including star and snowflake schemas, data marts, and semantic layersCapable of working in distributed Agile teams across multiple time zones and communicating effectively in English at an upper-intermediate level or higher

AND YOU WANT TO

Design, implement, and optimize ELT pipelines to migrate and transform data into a cloud-based analytics environmentRe-engineer and validate legacy SQL logic to ensure consistency and accuracy across modernized data platformsDevelop data models and transformation layers to support BI reporting and dashboardingAutomate data workflows and repeatable processes using Python and orchestration toolsPerform data reconciliation and quality checks to ensure accuracy after migrationCollaborate closely with BI Developers, Data Engineers, and business stakeholders to support reporting needsWork with infrastructure and DevOps teams to ensure secure and efficient data pipeline deploymentsContribute to documentation, internal standards, and continuous improvement of data migration and modeling practices

TOGETHER WE WILL

Gain certifications from leading providers (Google, AWS & others)Empower you to scale your expertise with others by joining the Mentoring ProgramExcel business of our clients from startups and ISVs to Enterprise and Fortune 500 companiesCreate an exceptional customer experience and impact the company's global success and be recognized by Customer Hero ProgramCare for your wellness with a health insurance package