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Data Engineer

3 months ago

Mumbai, Maharashtra, India Relic Consultancy Services Full time
JobDescription What you will do:
Architect Design document &implement the data pipelines to feed data models for subsequentconsumption in Snowflake using dbt airflow. Ensure correctness and completeness of the data being transformedvia engineering pipelines for end consumption in AnalyticalDashboards. Actively monitor and triagetechnical challenges in critical situations that require immediateresolution.

Evaluate viable technicalsolutions and share MVPS or PoCs in support of the research Developrelationships with external stakeholders to maintain awareness ofdata and security issues and trends.

Reviewwork from other tech team members and provide feedback for growthImplement Data Performance Data security policies that align withgovernance objectives and regulatory requirements

Youre good at: You haveexperience in data warehousing data modeling and the building ofdata engineering pipelines. You are well versed in data engineeringmethods such as ETL and ELT techniques through scripting and/ortooling. You are good in analyzing performance bottlenecks andproviding enhancement recommendations; you have a passion forcustomer service and a desire to learn and grow as a professionaland a technologist. Strong analyticalskills related to working with unstructured datasets. Collaboratingwith product owners to identify requirements define desiredoutcomes and deliver trusted results. Building processes supporting data transformation data structuresmetadata dependency and workload management. In this role SQL is heavily focused. Anideal candidate must have handson experience with SQL databasedesign. Plus Python.

Demonstrably deepunderstanding of SQL (level:
advanced) and analytical datawarehouses (Snowflake preferred). Demonstrated ability to write new code i.e. welldocumented andstored in a version control system (we use GitHub &Bitbucket) Extremely talented in applyingSCD CDC and DQ/DV framework. UDA dependency and workloadmanagement. Must have exposure totechnologies such as DBT Apache airflow and Snowflake.
Desire tocontinually keep up with advancements in data engineeringpractices. Knowledge on AWS cloud Python is a plus.
Youbring (Education & Experience)

Essential Education:
 Bachelors degree orequivalent combination of education and experience. Bachelorsdegree in information science data management computer science orrelated field preferred.

EssentialExperience & JobRequirements: 5 years of ITexperience with major focus on data warehouse/database relatedprojects Must have exposure to technologies such as dbt ApacheAirflow Snowflake

Experience in data platforms:
Snowflake OracleSQL Server MDM etc. Expertise in writingSQL and database objects Stored procedures functions views. Handsonexperience in ETL/ELT and data security SQL performanceoptimization and job orchestration tools and technologies e.g. dbtAttunity Golden Gate APIs Apache Airflow etc. Experience in data modeling and relationaldatabase design Wellversed in applying SCD CDC and DQ/DV framework. Demonstrate ability to write new code i.e.welldocumented and stored in a version control system (we useGitHub & Bitbucket). Good to haveexperience with Cloud Platforms such as AWS Azure GCP andSnowflake.

Good to have strongprogramming/scripting skills (Python PowerShell etc.) Good to knowabout developing financial models and forecasting to supportfinancial planning and decisionmaking processes.

Experience around responsibility foranalyzing and interpreting financial data to provide valuableinsights and support strategic decisionmaking. Experience working with agile methodologies(Scrum Kanban) and Meta Scrum with crossfunctional teams (ProductOwners Scrum Master Architects and data SMEs). Excellent written oral communication andpresentation skills to present architecture features and solutionrecommendations
snowflake,dbt,datamodeling,data warehousing,data security,version control,versioncontrol tools,sql,etl,aws,scriptinglanguages,airflow