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Bangalore City, India Persistent Systems Full time
Note: We are preferring employees from Product organizations and premium Engineering Institutes.Data Platform Engineer: Assisting team members in designing and building data infrastructure at scale. We handle PB of data each day through streaming and batch processing. You will be helping to deliver data to our data lake for use by our Data Warehouse team, Analytics teams and Data Scientists.Work on Data Lakehouse system architecture and ingesting/pipelining of data, and tools to automateand orchestrate in delivering performance, reliability, and operational efficiency-

Define both batch and streaming data-parallel processing pipelines and distributed processing back-endsBuild CI/CD Pipelines and manage configuration managementBuild tools and services that run on k8s that are part of our data ecosystemRoutinely write efficient, legible, and well-commented PythonClear communication skills to deliver on complex, technical topicsHelp scale our data warehouse (we use Snowflake) for clean data-ready delivery for analysis-

Work closely with Analytic Engineers and Data Analysts for the collection/analysis of raw data for models that empower end users.Build and scale our warehouse platform for data ingest, logging, search, aggregation, viewing, and analysisWhat we're looking for:5+ years of professional experience working and developing using Python and/or Java-

3+ years of professional experience working with Python scripting experience (Unix, bash, python)AWS Certification or equivalent experienceTerraform or other IaC Tools (Terraform Preferred)Experience with Streaming Data Apache Beam, Fink, Spark, and KafkaExperience with modern data technologies such as Airflow, Snowflake, Redshift, Spark-

Knowledge of source control, gitflow, gitlabflow, CI/CD (gitlab, circleci)Knowledge/Experience working with Kubernetes, Docker, HelmExperience with automation and orchestration toolsBachelors degree or equivalent in computer science, information systems, or a combination of education and related experience requiredData Engineer:What You'll Do Lead the building of scalable, fault tolerant pipelines with built in data quality checks that transform, load and curate data from various internal and external systemsProvide leadership to cross-functional initiatives and projects.Influence architecture design and decisions.Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.Improve engineering processes and cross-team collaboration.Ruthlessly prioritize work to align with company priorities.Provide thought leadership to grow and evolve DE function and implementation of SDLC best practices in building internal-facing data products by staying up-to-date with-

industry trends, emerging technologies, and best practices in data engineeringWhat we're looking for:3-12 years of experience in BI and Data Warehousing.Minimum 3 years of experience leading data teams in a high-volume environment-

Minimum 4 years of experience with dbt, Airflow and snowflakeExperience with Apache Iceberg tablesExperience and knowledge of building data-lakes in AWS (i.E. Spark/Glue, Athena),-

Including data modeling, data quality best practices, and self-service tooling.-

Experience mentoring data professionals from junior to senior levelsDemonstrated success leading cross functional initiativesPassionate about data quality, code quality, SLAs and continuous improvement-

Deep understanding of data system architectureDeep understanding of ETL/ELT patternsDevelopment experience in at least one object-oriented language (Python,R,Scala, etc.).-

Comfortable with SQL and related tooling