Senior Manager -Databricks

Tredence

Early Applicant

4 months ago
Be among the first 50 applicants

Exp: 3-4 Years

Full time

Delhi, Hyderabad / Secunderabad, Telangana, Bengaluru / Bangalore, Chennai, Kolkata, Mumbai, Pune, India

Job Description

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).