Azure Data Engineer
3 weeks ago
About Tredence:
Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 1,800-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toranto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients.
As we complete 10 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth.
·Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base.
·Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in Kolkata and a few tier 2 cities in India. In 2023, we also plan to hire more than 1000 employees across markets.
·Tredence is a Great Place to Work (GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance.
· At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible
This position requires someone with good problem solving, business understanding and client presence.
Overall professional experience of the candidate should be atleast 3 years with a maximum experience upto 14 years.
The candidate must understand the usage of data Engineering tools for solving business problems and help clients in their data journey. Must have knowledge of emerging technologies used in companies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams.
Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on data engineering projects.
Role Description:
● Developing Modern Data Warehouse solutions using Databricks and Azure Stack
● Ability to provide solutions that are forward-thinking in data engineering and analytics space
● Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
● Triage issues to find gaps in existing pipelines and fix the issues
● Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
● Drive technical discussion with client architect and team members
● Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications:
● Bachelor's and/or master’s degree in computer science or equivalent experience.
● Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
● Should have hands-on experience in SQL, Python and Spark (PySpark)
● Experience in building ETL / data warehouse transformation processes
● Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
● Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
● Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects
● Should have experience working in Agile methodology
● Strong verbal and written communication skills.
● Strong analytical and problem-solving skills with a high attention to detail.
Mandatory Skills
Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake.
Job Location - Bangalore , Chennai , Pune , Gurgaon , Kolkata
Experience Level - Azure Databricks Engineer ( 3 to 5 Years ) , Lead Data Engineer ( 5 to 8 years ) , Architect ( 9 to 12 years )
Expected Joining Time - Immediate to Max 45 days.
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