Data & Analytics Developer

Overview
We are looking for a Software Developer to join our team with growing requirement of Data & Analytics. The hire will be responsible for collaborating with business users and delivering analytics projects. Also, they will be building and optimizing our data storage and pipeline architecture to provide a strong base for our data platform. Furthermore, they will work on a variety of projects around Analytics, Digital Marketing Integration, Campaign Management, Lead Generation, Data Integration and Visualization.

The ideal candidate is an experienced software developer who enjoys optimizing data and analytics systems and building them from the ground up. They must be self-directed and comfortable supporting the needs of multiple systems and projects. Candidates will be expected to be very hands-on and pick up domain knowledge. We focus on solving the problem and not getting tied down by technological choices - it is extremely important that candidates are open to learning & working with technologies that are new for them.

We support what we build – candidate will be responsible for post-production support on a rotation basis.

Qualification

• We are looking for a candidate with 7+ years of experience in Software Development role, who has attained a bachelor’s or master’s degree in computer science, information technology/systems or another relevant technical field.

• Advanced working knowledge and experience with data modelling, data warehousing concepts, database design principles, query authoring (SQL) and performance optimization.

• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.

• Hands-on programming experience with Python, Java, or C#.

• Working knowledge of a visualization/reporting tool.

• Excellent problem-solving and analytical skills with attention to details.

• Strong project management and organizational skills.

• Experience supporting and working with cross-functional teams in a dynamic environment.

• Excellent communication and collaboration skills.

Skillset and Experience

• Experience with Relational database systems like Sybase, SQL Server, Postgres, etc.

• Experience with object-oriented or function scripting languages:
Python (Num Py, Pandas), Java, C++, or Scala, etc.

• Working knowledge of visualization tools like Tableau, Qlik View, Power BI etc.

• Experience with Cloud technologies like Snowflake, Microsoft Azure, Databricks, etc is a plus.

• Experience with data-science tools / workbench like Dataiku, Jupyter, Rapid Miner, etc. is a plus.

• Experience with Big Data tools / technologies:
Hadoop, Pig, Hive, Hue, PySpark etc. is a plus.

• Experience with ETL tools like Azure Data Factory, Informatica, etc. is a plus.

• Experience with machine learning / artificial intelligence techniques like regression, classification, clustering, time series, text mining, large language model, etc. is a plus.