Chief Data Strategist

6 days ago

Guntur, Andhra Pradesh, India beBeeData Full time ₹ 15,06,000 - ₹ 20,14,000
Senior Data Engineer

About the Role

We are seeking an experienced data engineer who possesses the natural curiosity and creative mind to ask questions, connect the dots, and uncover opportunities that lie hidden with the ultimate goal of realizing the data's full potential.

  • Develop modern data warehouse solutions using Snowflake and Azure Data Factory.
  • Provide forward-thinking solutions 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 reporting needs and develop a data model to fulfill those needs.
  • Help team members resolve issues and technical challenges.
  • Drive technical discussions with client architects and team members.
  • Orchestrate data pipelines in the scheduler via Airflow.
Requirements
  • Bachelor's and/or master's degree in computer science or equivalent experience.
  • Total 6+ years of IT experience and 3+ years' experience in Data Warehouse/ETL projects.
Key Skills
  • 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.
  • Hands-on experience in SQL and Spark (PySpark).
  • Experience building ETL / data warehouse transformation processes.
  • Experience with Open Source non-relational / NoSQL data repositories (MongoDB, Cassandra, Neo4J).
  • Experience working with structured and unstructured data including imaging & geospatial data.
  • Experience working in Dev/Ops environment with 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 dynamic, fast-paced, innovative environment with several ongoing concurrent projects.
  • Experience working in Agile methodology.
  • Strong verbal and written communication skills.
  • Strong analytical and problem-solving skills with high attention to detail.
Preferred Skills
  • Snowflake/Azure Data Factory/ PySpark.

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