Senior Software Engineer- Data Engineer Job in Nitor Infotech

Assemble large, complex data sets that meet functional / non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, MPP Data warehouse and Azure 'big data' technologies. - Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. - Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. - Work with data and analytics experts to strive for greater functionality in our data systems. - Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture throughout projects. - Advanced working SQL knowledge and experience working with relational databases (PostgreSQL, SQL Server), query authoring (SQL/PLSQL), Stored Procedure, UDFs as well as working familiarity with a variety of databases including Massively Parallel Processing Data warehouse technologies (Netezza, Redshift). - Good experience in one of the MPP data warehouse technologies like Netezza/Redshift, PostgreSQL. - Experience building and optimizing data pipelines, architectures and data sets. - Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. - Strong analytic skills related to working with large structured/unstructured datasets. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Working knowledge of unix shell scripting/bash scripting - Experience supporting and working with cross-functional teams in a dynamic environment. - Experience in building Data-Ingestion and ETL/ELT Pipelines - Overall 5+ years of experience with 3+ years of experience in a Data Engineer role - Good to have experience in MS Azure Data Factory, Data Warehouse, Azure SQL Server - Experience with data pipeline and work flow management tools - Hands on working experience in Linux & Windows environment - Good to have: Experience in Python programing - Must be a good team player, Takes ownership for responsibilities - Recognizes and respects the strengths of others in the organization - Demonstrates a high degree of reliability, integrity, and trustworthiness - Demonstrates strong negotiation, communication & presentation skills