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Senior Manager -Databricks
tredence
·
10-16 years
₹ 35.8 - 42L/yr (AmbitionBox estimate)
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Senior Manager -Databricks
Tredence
posted 5mon ago
Job Role Insights
Flexible timing
Key skills for the job
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 membersOrchestrate 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
- 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).
Employment Type: Full Time, Permanent
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