Senior Software Development Lead - R01564577

• Posted 3 days ago • Updated 9 hours ago

Full Time

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Job Details

Skills

Software Development
DevOps
Cosmos-Db
Databricks
Transact-SQL
Data Marts
Data Management
Encryption
Data Compression
Migration
Business Intelligence Management
Issue Resolution
Cubes
Dashboard
Documentation
Policies and Procedures
Business Intelligence
Cloud Computing
Microsoft Azure
Microsoft Technologies
Scripting Language
Python
C#
Microsoft SQL Server
MySQL
Oracle
Big Data
NoSQL
Database
Apache Hive
Apache HBase
Apache Pig
Apache Spark
Microsoft SSIS
Master Data Management
Data Quality
Meta-data Management
Data Profiling
Streaming
MPP
Relational Databases
Snow Flake Schema
Advanced Analytics
Scalability
Data Warehouse
Software Development Methodology
Lean Methodology
Agile
IT Management
Data Engineering
Data Modeling
ERwin
Talend
Extract
Transform
Load
ELT
Performance Tuning
Continuous Integration
Continuous Delivery
Communication

Software Development
DevOps
Cosmos-Db
Databricks
Transact-SQL
Data Marts
Data Management
Encryption
Data Compression
Migration
Business Intelligence Management
Issue Resolution
Cubes
Dashboard
Documentation
Policies and Procedures
Business Intelligence
Cloud Computing
Microsoft Azure
Microsoft Technologies
Scripting Language
Python
C#
Microsoft SQL Server
MySQL
Oracle
Big Data
NoSQL
Database
Apache Hive
Apache HBase
Apache Pig
Apache Spark
Microsoft SSIS
Master Data Management
Data Quality
Meta-data Management
Data Profiling
Streaming
MPP
Relational Databases
Snow Flake Schema
Advanced Analytics
Scalability
Data Warehouse
Software Development Methodology
Lean Methodology
Agile
IT Management
Data Engineering
Data Modeling
ERwin
Talend
Extract
Transform
Load
ELT
Performance Tuning
Continuous Integration
Continuous Delivery
Communication

Summary

Senior Software Development Lead
Primary Skills

AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions

Specialization

Azure Data Engineering Advanced: Senior Data Engineer

Job requirements

Primary Duties and Responsibilities: 10+ years of SQL Server ETL Development experience using SSIS, Azure Data Factory and Azure Databricks. Strong ETL, data warehouse, T-SQL skills. Understanding of data warehouse and data mart architecture, and Kimball methodology. 8+ years of strong hands-on experience building large-scale databases Design, build and launch efficient & reliable data pipelines to move and transform data Broad understanding and experience of data modeling, data management, ETL and BI Experience in building enterprise data warehousing with table partitioning, encryption and data compression Experience with cloud migration Perform ongoing monitoring, automation and refinement of reports and BI solutions. Work with BI Management to identify and resolve data related issues. Work with business departmental teams to help them define and document business requirements for new metrics and reports. Participate in process reviews and enhancements. Provide analysis and issue resolution on business reported concerns. Participate in design and delivery of cubes, dashboards and various self-service business intelligence solutions. Other: Enforces established documentation guidelines and best practices. Maintains a high degree of business functional knowledge and current automated technologies and tools. Adheres to all policies and procedures concerning all confidential information including but not limited to internal use and restricted information Qualifications: Required 7+ years of experience in working as Data Engineer for Enterprise DWH and BI project for both on prem and cloud (Azure) with minimum of 3+ years of hands-on experience in working on Microsoft Technologies (SQL Server, Synapse, SSIS, Data Factory, Data Bricks) Hands on experience on scripting language python, C# or equivalent Advanced level experience on MS SQL Server, MySql , or Oracle Experience with Big Data Technologies (NoSQL databases, Hive, Hbase , Pig or Spark) Exposure and hands on exposure to ETL using SSIS, Data Factory Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads. Experience of using one/more scalable (MPP) relational databases such as Synapse or Snowflake for advanced analytics Working knowledge of application and system availability, scalability and distributed data platforms Strong experience in data warehousing technologies, ETL/ELT implementations Knowledge and experience with full SDLC lifecycle Experience with Lean / Agile development methodologies Experience in providing technical leadership and other engineers for the best practices on the data engineering space. Desired Experience in defining new architectures and ability to drive an independent project from an architectural stand point Familiarity with data modeling and ETL tools such as Erwin, Talend etc. Support users with troubleshooting, tuning queries (partition, bucket recommendations etc.), Experience with design and implementation of ETL/ELT framework for complex warehouses/marts. Knowledge of large data sets and experience with performance tuning and troubleshooting Hands-on development mentality, with a willingness to troubleshoot and solve complex problems CI / CD exposure Excellent verbal and written communication skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90672149
Position Id: 2fd45581193aac984ee39a63e0128364
Posted 3 days ago

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