Job Description
Job Description
What you will be doing
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\n - Be a core member of our rapidly growing Databricks practice
\n - Work directly with end customers and architect, scope, negotiate & lead enterprise scale Databricks migration projects
\n - Provide thought leadership in the areas of data migration, master data management, data modeling, data governance, data transformations, curation and data integration
\n - Develop data architecture blueprints, patterns and frameworks that will enable reuse and standardization
\n - Grow the practice by influencing sales deals and assist with scoping, solutioning and estimating effort
\n - Lead efforts to develop reusable frameworks, accelerators and internal product development
\n - Help us hire, train and develop highly differentiated and diverse team of Big Data experts
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\n The skills you will brin
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\n 7+ years experience of data engineering, data platforms &analytic \n - s.10+ years of consulting experien
\n - ceMinimum 6-8+ projects delivered with hands-on experience in development on databrick
\n - s.Current knowledge across the Databricks product *& platform features - and/ or complete Databricks Data Engineering Professional Certification (upon joining
\n - ).Deep understanding and experience working with modern cloud data architectures and engineering for one or more of the common cloud ecosystems - AWS, Azure or G
\n - CPFamiliarity with cloud native technologies specifically - Python / PySpark/ JavaScript, CI/CD for production deployments , ML Ops, cloud devops, containers (kubernetes/docker, etc
\n - .)Deep experience with distributed computing with Spark, with knowledge of Spark runtime interval
\n - s.Strong abilities to provide a firm point of view on core cloud platform capabilities, security, and best practic
\n - esKnowledge of cloud and Big Data ecosystems to advise clients on optimal solutions and best practic
\n - esUnderstanding of cloud data architecture and data integration patterns (Databricks, Starburst, Azure Data Factory, AWS Glue and others), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terrafor
\n - m)Understanding of enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standar
\n - dsUnderstanding of SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Scala/Spa
\n - rkAbility to identify, debug bottlenecks and significantly optimizes low running data pipelin
\n - esExperience migrating applications from legacy Hadoop or Data Warehouses to the cloud running Apache Spark or Databricks a huge pl
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usOther nice to have skill
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\n Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects is a p \n - lusExperience leading and working with large Cloud Data Platform, Cloud Data migration or Enterprise Information Management progr
\n - amsYou bring an uncompromising Growth mind
\n - setYou are highly motivated, creative in your approach to technical problems and know how to leverage both internal and external netwo
\n - rksYou invest in keeping technical skills updated and are constantly looking for the next big challe
\n - ngeYou will bring both broad and deep knowledge in Data Engineering and can architect a solution by mapping a customer business problem to an end-to-end soluti
\n - on.You are resourceful, confident and composed under press
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