Manager -Databricks

1 month ago

india Tredence Full time

About Tredence

Tredence 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 Summary

● Designing and Developing Modern Data Warehouse solutions using  Databricks  and AWS/ 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

● Help joiner team members to resolve issues and technical challenges.

● Drive technical discussion with client architect and team members

● Orchestrate the data pipelines in scheduler via Airflow

Roles & Responsibilities

● Must have total 10+ yrs. of IT experience and 4+ years' experience in Data warehouse/ETL projects.

● Deep understanding of Star and Snowflake dimensional modelling.

● 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, Python and Spark (PySpark)

● Candidate must have experience in AWS/ Azure stack

● Desirable to have ETL with batch and streaming (Kinesis).

● Experience in building ETL / data warehouse transformation processes

● Experience with streaming data / event-based data

● Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)

● Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)

● Experience working with structured and unstructured data including imaging & geospatial data.

● ● 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

Qualification & Experience

Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL , Python and Spark (PySpark) Candidate must have experience in AWS/ Azure stack Experience in building ETL / data warehouse transformation processes, Apache Kafka for use with streaming data / event-based data Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable).

Why 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.

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