Responsibilities of the role include:
 

• Understand business requirements to develop and implement solutions that address business needs and adhere to big data architectural guidelines.
• Develop data-driven solutions to complex business challenges while working with data scientists and business consultants.
• Architect and create data views from big data store to feed into analytics solutions and visualization layers.
• Troubleshoot, debug when data is found to be inaccurate.
• Root cause analysis of data issues and coming up with stable long terms solutions. 
• The candidate must display excellent written and verbal skills with demonstrated interpersonal and organizational abilities.

Skills:
Mandatory: SQL, Python, Databricks, Spark.

Good to have: MongoDB, Dataiku DSS, Pyspark

Qualifications:

• Advanced working SQL knowledge, expertise using relational databases / working familiarity with a variety of databases (i.e., MySQL, postgres, etc.).
• Expert in building and optimizing big data' data pipelines, architectures, and data sets.
• Excellent experience in data processing using Python.
• Good Understanding of Big data tools and ecosystem (e.g., Hadoop, Spark, etc.)
• Significant knowledge of using ETL development tools like data bricks/airflow.
• Strong technical fundamentals to quickly learn next gen tools and start working on the same.
• Good working knowledge of Microsoft Office (Word, Excel, PowerPoint, Outlook)
• Ability to plan, prioritize, multi-task, and manage own workload to tight deadlines.
• Proactive and creative approach to problem-solving – the ability to 'think outside the box’.
• Team Player

How You’ll Grow at In Time Tec

In Time Tec, has made significant investments to create a stimulating environment for its people to grow. We want each of our employees to grow in their way and play their roles while honing their ownership abilities. As part of those efforts, we provide our professionals with a range of educational opportunities to help them grow in their career.