Data Engineer
- 7dxperts
- 5 - 8 years
- Bengaluru
- 6 days ago
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Job Description
Role & responsibilities
- 3+ years of experience in Spark, Databricks, Hadoop, Data and ML Engineering.
- 3+ Years on experience in designing architectures using AWS cloud services & Databricks.
- Architecture, design and build Big Data Platform (Data Lake / Data Warehouse / Lake house) using Databricks services and integrating with wider AWS cloud services.
- Knowledge & experience in infrastructure as code and CI/CD pipeline to build and deploy data platform tech stack and solution.
- Hands-on spark experience in supporting and developing Data Engineering (ETL/ELT) and Machine learning (ML) solutions using Python, Spark, Scala or R languages.
- Distributed system fundamentals and optimising Spark distributed computing.
- Experience in setting up batch and streams data pipeline using Databricks DLT, jobs and streams.
- Understand the concepts and principles of data modelling, Database, tables and can produce, maintain, and update relevant data models across multiple subject areas.
- Design, build and test medium to complex or large-scale data pipelines (ETL/ELT) based on feeds from multiple systems using a range of different storage technologies and/or access methods, implement data quality validation and to create repeatable and reusable pipelines
- Experience in designing metadata repositories, understanding range of metadata tools and technologies to implement metadata repositories and working with metadata.
- Understand the concepts of build automation, implementing automation pipelines to build, test and deploy changes to higher environments.
- Define and execute test cases, scripts and understand the role of testing and how it works.
Preferred candidate profile
- Big Data technologies Databricks, Spark, Hadoop, EMR or Hortonworks.
- Solid hands-on experience in programming languages Python, Spark, SQL, Spark SQL, Spark Streaming, Hive and Presto
- Experience in different Databricks components and API like notebooks, jobs, DLT, interactive and jobs cluster, SQL warehouse, policies, secrets, dbfs, Hive Metastore, Glue Metastore, Unity Catalog and ML Flow.
- Knowledge and experience in AWS Lambda, VPC, S3, EC2, API Gateway, IAM users, roles & policies, Cognito, Application Load Balancer, Glue, Redshift, Spectrum, Athena and Kinesis.
- Experience in using source control tools like git, bit bucket or AWS code commit and automation tools like Jenkins, AWS Code build and Code deploy.
- Hands-on experience in terraform and Databricks API to automate infrastructure stack.
- Experience in implementing CI/CD pipeline and ML Ops pipeline using Git, Git actions or Jenkins.
- Experience in delivering project artifacts like design documents, test cases, traceability matrix and low-level design documents.
- Build references architectures, how-tos, and demo applications for customers.
- Ready to complete certifications
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: 7dxpertsLocation(s): Bengaluru
Keyskills: Data Engineering Data Bricks Python ML ML Engineering Pyspark MLops Ci Cd Pipeline GIT Machine Learning SQL
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7dxperts
7Dxperts specializes in utilizing all types of dimensions of data to tackle challenging questions in the field of Data/Spatial/ML. Our customers can be engaged for insight projects to prove immediate value, build data-driven solutions to target specific problems, or build capability, operation &...
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