Job Description

About TredenceTredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.Job LocationBangalore/Chennai/Pune/Gurgaon/KolkataRoles & Responsibilities Developing Modern Data Warehouse solutions using Snowflake, Databricks and ADF.
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 the reporting layer and develop a data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussions with client architect and team members
Orchestrate the data pipelines in the scheduler via AirflowQualification & Experience Bachelor's and/or master's degree in computer science or equivalent experience.
Must have total 6+ yrs. of IT experience and 3+ years\' experience in Data warehouse/ETL projects.
Expertise in Snowflake security, Snowflake SQL and designing/implementing other Snowflake objects.
Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, Snowsight and Snowflake connectors.
Deep understanding of Star and Snowflake dimensional modeling.
Strong knowledge of Data Management principles
Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
Should have hands-on experience in SQL and Spark (PySpark)
Experience in building ETL / data warehouse transformation processes
Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)
Experience working with structured and unstructured data including imaging & geospatial data.
Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.
Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting and Query Optimization.
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: Snowflake/Azure Data Factory/ PySpark / DatabricksWhy Join Tredence?There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest and fun-loving people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. Our people are our greatest asset and we value every one of them. Come see why we're so successful in one of the most competitive and fastest growing industries in the world.

Tredence