The Bigdata Engineer will design and develop ETL/Hadoop and analytics components, ensuring performance optimization and adherence to architectural standards, while managing distributed computing tasks and data ingestion workflows.
This is a remote position.
Responsibilities:
- As a developer, possess excellent Knowledge of distributed computing architecture, core hadoop component (HDFS, Spark, Yarn, Map-Reduce, H base, HIVE, Impala) and related technologies.
- Technical Design and development of ETL/Hadoop and Analytics services /components
- Contribute in end to end architecture and process flow
- Understand Business requirement and publish reusable designs
- Result oriented approach with ability to provide apt solutions.
- Proficient in performance improvement & fine-tuning ETL and Hadoop implementations
- Conduct code reviews across projects. Takes responsibility for ensuring that build and code adhere to architectural and quality standards and policies.
- Can work independently with minimum supervision.
- Strong analytical and problem solving skills
- Experience/Exposure to SQL, advanced SQL skills
Requirements
Skills Set:
- Strong understanding of distributed computing architecture, core hadoop component (HDFS, Spark, Yarn, Map-Reuduce, H base, HIVE, Impala) and related technologies.
- Hands on experience with batch data ingestion (Sqoop)
- Expert level understanding of relational data structure and RDBMS as well as NoSQL databases (Cassandra, MongoDB, Elasticsearch)
- Experience with automation/Scheduling of workflows/jobs (via shell-scripting, Tivoli)
- Solid Grasp of data storage formats (Parquet, Avro, HBase, Cassandra)
- Understanding of Agile methodologies as well as SDLC life-cycles and processes.
- Strong Understanding of Data warehousing and lakes
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Senior Salesforce Engineer responsible for designing and building Salesforce solutions: develop Apex, triggers, Lightning Web Components, Aura, and Visualforce; build and modernize integrations and platform experiences; lead Quote-to-Cash implementations; troubleshoot production (L3) issues; follow CI/CD and deployment best practices; participate in Agile ceremonies; monitor org performance and advocate Salesforce best practices.
Top Skills:
AgentforceAgenticApexAuraCopadoData CloudLightning Web ComponentsLwcQuote-To-CashSalesforceSlackVisualforce
Cloud • Information Technology • Productivity • Software • Automation
Provide technical support to customers via meetings, chat, and email; troubleshoot product, configuration, networking and cloud issues; empathize and analyze reported problems; use technical knowledge to resolve or escalate; collaborate with Product and Engineering; participate in on-call rotations and specified shift hours.
Top Skills:
APIsAWSBoomiGoogle Cloud PlatformGroovyHadoopJavaJavaScriptLinuxAzureNetSuiteOauth 2.0PostmanReactSalesforceWindows
Cloud • Information Technology • Productivity • Software • Automation
As a Product Support Engineer, you'll troubleshoot customer issues, develop solutions, and work with various technologies to ensure operational success while providing global support during remote and future in-office hours.
Top Skills:
Boomi AtomsphereCharles ProxyEltETLGroovyHadoopHttp/SJavaJavaScriptKubernetesLinuxNetSuiteOauth 2.0PostmanRancher DesktopReactRestSalesforceSftpSoapSsl/TlsTcp/IpWindowsWiresharkWsdl
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
