WE ARE
SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our team are passionate innovators working on over 2,000 cutting-edge projects around the globe from the USA and LATAM to the Asia-Pacific region.
Our Big Data & Analytics Center of Excellence is a data consulting and data engineering branch of SoftServe. Starting as a group of 3 enthusiasts in 2013, almost 200 Data Engineers and Architects nowadays build Data and Analytics end-to-end solutions from strategy through technical design and PoC to full-scale implementation.
We have customers in the Healthcare, Finance, Manufacturing, Retail, and Energy domains and hold top-level partnership statuses with all the major cloud providers. We also collaborate with many technology partners like Snowflake, Confluent, Cloudera, Starburst, Collibra, Tableau, and others.
Our client is a diversified resource company committed to responsible mining and mineral development with business units focused on steelmaking coal, copper, zinc, and energy. They have expertise in exploration, development, mining, and minerals processing, including smelting and refining, health and safety, environmental protection, materials stewardship, recycling, and research.
IF YOU ARE
Competent in Python and PySpark Proficient in working with Databricks Lakehouse architecture and principles Possessing 2+ years of experience in designing data models, building ETL pipelines, and wrangling data to solve business problems Well-versed in Azure cloud technologies and modern data estate components, such as Azure Data Factory, Azure DevOps, Azure Synapse, and Azure Data Lake Services Skilled with advanced SQL working with relational databases Knowledgeable of database and data warehouse design best practices Experienced in designing, building, and scaling streaming and batch data pipelines Good at finding the best solution among different options, conducting trade-off analysis, and solving problems Capable of communicating with stakeholders in written and verbal form at the Upper-Intermediate English level
AND YOU WANT TO
Utilize Python, and PySpark for daily engineering tasks Work with Azure cloud services and a range of cloud-based tools Implement Generative AI with Databricks on different processes such as ETL, and data administration Collect and analyze data through manual and automated collection methods Identify patterns and meaningful insights from data through analysis Analyze large data sets and translate abstract data into easily digestible visualizations Participate in the entire project lifecycle, from initial design through PoCs and MVP up to the full-scale implementation Work with major cloud providers' services which are not generally available yet Engage with Customers from all over the world, from huge global corporations to crypto startups that are about to launch their first product
TOGETHER WE WILL
Gain certifications from leading providers (Google, AWS & others) Empower you to scale your expertise with others by joining the Mentoring Program Excel business of our clients from startups and ISVs to Enterprise and Fortune 500 companies Create an exceptional customer experience and impact the company's global success and be recognized by Customer Hero Program Care for your and your family’s wellness with a health insurance package