Sr. Databricks Technical Lead
INFT Solutions inc
Dice Job Match Score™
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Job Details
Skills
- IT Management
- Collaboration
- Databricks
- Documentation
- Business Data
- Meta-data Management
- Real-time
- Data Analysis
- Data Processing
- Data Flow
- Data Mapping
- Data Integration
- Agile
- Python
- Apache Spark
- PySpark
- Scala
- Amazon Web Services
- Electronic Health Record (EHR)
- Amazon S3
- Amazon Redshift
- API
- Amazon Kinesis
- Analytical Skill
- Query Optimization
- Extract
- Transform
- Load
- Change Data Capture
- Relational Databases
- SQL
- Oracle
- Database
- Development Testing
Summary
Key Responsibilities:
Experience: 13+ years Realtime experience on databricks is must.
Collaborate as part of a development team to design and enhance large-scale applications developed using Python, Spark & PySpark.
Real-time experience on Databricks is must.
Evaluates and plans software designs, test results and technical manuals using AWS.
Confer with business units and development staff to understand both the business and technical requirements for producing technical solutions.
Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
Extend and enhance the business Data Lake.
Create or implement solutions for metadata management.
Solve for complex data integrations across multiple systems.
Design and execute strategies for real-time data analysis and decisioning.
Build robust data processing pipelines using AWS Services and integrate with multiple data sources.
Translating client user requirements into data flows, data mapping, etc.
Analyses and determines data integration needs and follows Agile practices.
Required Skills:
At least 4+ years of experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Scala or Python.
At least 4 years of experience with Python, Spark & Pyspark.
At least 3 years of experience working on AWS technologies.
Experience of designing, building, and deploying production-level data pipelines using tools from AWS Glue, Lamda, Kinesis using databases Aurora and Redshift.
Experience with Spark programming (Pyspark or scala).
Hands on experience with AWS components like (EMR, S3, Redshift, Lamdba, API Gateway, Kinesis ) in production environments.
Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques.
Experience using ETL tools for data ingestion.
Experience with Change Data Capture (CDC) technologies and relational databases such as MS SQL, Oracle and DB.
Ability to translate data needs into detailed functional and technical designs for development, testing and implementation.
- Dice Id: 91166511
- Position Id: INFT 3022-2080-1788361260
- Posted 1 day ago
Company Info
About INFT Solutions inc
At INFT Solutions, we understand that technology is the backbone of modern businesses. Our goal is to empower companies with innovative, scalable, and future-ready solutions that drive efficiency and growth.
With a deep commitment to excellence, we provide end-to-end IT services, ensuring seamless integration of technology into your business operations. Whether you need application development, IT staffing, or cutting-edge digital transformation solutions, our expertise guarantees measurable success.
Partner with us to leverage industry-leading technologies and a customer-centric approach that delivers real results. Our team stays ahead of the curve, constantly evolving to meet the dynamic needs of businesses across diverse sectors. Let INFT Solutions be your trusted technology partner in achieving sustainable success.
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