Snowflake Data Engineering Job in Polestar Solutions

Job Overview

We are looking forward to enthusiastic Data Engineers for all cloud platforms Azure| Amazon|Google|Snowflake- joining our growing analytics experts team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture and optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams & systems.

Job Description:

. Snowflake SQL Writing SQL queries against Snowflake Developing scripts Unix, Python, etc. to do Extract, Load, and Transform data
. Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
. In-depth understanding of Data Warehouse/ODS, ETL concept, and modeling structure principles
. Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
. Experience gathering and analyzing system requirements
. Good working knowledge of any ETL tool (Informatica or SSIS)
. Good to have familiarity with data visualization tools (Tableau/Power BI)
. Ability to effectively function in a cross team's environment
. Good to have exposure to AWS / Azure Data ecosystem

Qualifications-

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with a variety of databases.
• 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 unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Polestar Profile

We are a trusted and committed global IT Solutions and Services firm aiming to partner with

top-notch enterprises to provide World Class IT solutions to our clients at competitive rates.

Our Business Intelligence & Analytics solutions empower businesses to turn their data into

a profit-making asset.

Few of our recognition are:

• Ranked 18thin Financial Times out of 1000 High-Growth Companies Asia Pacific List
• Ranked 1stfastest growing technology company in India, on Deloitte Tech Fast50, 2017
• Ranked 3rdfastest growing technology company in India, on Deloitte Tech Fast50, 2016
• Awarded Innovative Partner of the year at Qlik Partner Conference, 2016
• Elite Qlik Partner& a member of the Qlik Partner Advisory Council for APAC Region