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We are looking forsomeone who has a deep understanding of Big Data and Cloud architecture and isexcited to advance innovative analytics solutions. As a Data Architect, you effectively communicate ideas and concepts to peers and bring onboard the experience of leading projects that support the organization s businessobjectives and goals.
You areall set to:
Architect andimplement data ingestion, data validation, and data transformation pipelines. Collaboratewith the Product, Development, and Enterprise Data teams to design and maintainbatch and streaming integrations across a variety of data domains andplatforms.
You are someone who can:
Take ownership in building solutions and proposingarchitectural designs related to building efficient and timely data ingestionand transformation.
processes geared towards analytics workloads.
Manage code deployment to various environments.
Be proficient at positively critiquing andsuggesting improvements via code reviews
Work with stakeholders to define and develop dataingest, validation, and transform pipelines.
Troubleshoot data pipelines and resolve issues inalignment with SDLC.
Ability to diagnose and troubleshoot data issues,recognizing common data integration andtransformation patterns
Estimate, track, and communicate status of assigneditems to a diverse group of stakeholders required
You bring in:
12 years experience in the industry.
Experience and knowledge of Big Data Architectures,on cloud and on premise
Proficiency in AWS Collection Services: Kinesis,Kafka, Database Migration Service
Proficiency in AWS main Storage Service: S3, EBS,EFS
Proficiency in AWS main Compute Service: EC2,Lambda, ECS, EKS
Proven experience in: Java, Working experiencewith: AWS Athena and Glue Pyspark, EMR,DynamoDB, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflakeon AWS
Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB
AWS Certification: AWS Certified SolutionsArchitect and/or AWS Certified Data Analytics
Working experience with Agile Methodology andKanban
We Prefer:
Strong experiencein Azure is preferred with hands-on experience in 2 or more of these skills:Azure SQL DB, Azure SQL Managed Instance, Azure Data Lake Store, Azure CosmosDB, Azure Database for PostgreSQL, Azure Database for MySQL
Your qualification is:
B.E/B.Tech/M.C.A/MSc(preferably in Computer Science/IT)
Role: Data warehouse Architect / Consultant
Industry Type: Software Product
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: DBA / Data warehousing
Kanini is a digital 2.0 transformation enabler with expertise in Cloud Enablement, Data Analytics AI, Product Engineering, Intelligent Automation, ServiceNow Solutions, Telehealth, Location Intelligence, IoT and Field Service Management all accelerated through Flexible Engagements to provide a great Customer Experience.
We are charting this path of Digital 2.0 with innovation, agile development, flexible engagements, and proven expertise and Global Delivery Framework
Job ID: 114092109
Skills:
snowflake , ARM Templates, Cassandra, Pyspark, PostgreSQL, Data Integration, ELT, Apache Airflow, Terraform, Data Governance, Oracle, Python, AWS, Data Modelling, Cloudformation, Scala, SQL Server, Dynamodb, Sql, Data Quality, Gcp, Apache Kafka, Spark, Databricks, Data Warehousing, MongoDB, Azure, Etl, Cloud Data Platforms, Delta Lake
Skills:
snowflake , Sql, Azure Data Factory, Gcp, Databricks, Azure, Python, AWS, Data warehouse and lakehouse architecture design, Semantic data modeling and dimensional design, Cloud-native data platform development, Medallion architecture implementation
Skills:
T-sql, SQL Server, Azure Data Factory, Databricks, Python, Etl, Logic App, Azure Data Lake Storage Gen2, Event Hub, Azure Monitoring, Azure Suite Fabric, Microsoft Purview, Stream Analytics, Data Explorer, CosmosDB
Skills:
AI-driven data management approaches, Microsoft Azure OpenAI Service, database design principles, Microsoft BOT Framework, cloud-based data services, data modeling techniques, Microsoft Agentic AI Architecture, designing scalable and secure data storage solutions
Skills:
Pyspark, Apache Spark, Sql, Rabbitmq, Rdf, Neo4j, Apache Kafka, Python, Airflow, GraphDB, owl, pgvector, Stardog, Great Expectations, Pinecone, Flink, AWS Glue DataBrew, Chroma, dbt, Dagster, Milvus, Weaviate, Apache Jena