Senior Data Engineer

What would a typical day at your work be like?
The Person will work as a Senior Data Engineer in the Data Engineering team of Decision Point, Translating business and functional user requirements into functioning solutions. The incumbent for the position is expected to deliver but not limited to on following responsibilities:
Assume ownership of Data Engineering projects from inception to completion.
Implement fully operational Unified Data Platform solutions in production environments
using technologies like Databricks, Snowflake, Azure Synapse etc.
Showcase proficiency in Data Modelling and Data Architecture
Utilize modern data transformation tools such as DBT (Data Build Tool) to streamline and
automate data pipelines (nice to have).
Implement DevOps practices for continuous integration and deployment (CI/CD) to ensure
robust and scalable data solutions (nice to have).
Maintain code versioning and collaborate effectively within a version-controlled environment.
Familiarity with Data Ingestion & Orchestration tools such as Azure Data Factory, Azure
Synapse, AWS Glue etc.
Set up processes for data management, templatized analytical modules/deliverables.
Continuously improve processes with focus on automation and partner with different teams
to develop system capability.
Proactively seek opportunities to help and mentor team members by sharing knowledge and
expanding skills.
Ability to communicate effectively with internal and external stakeholders.
Coordinating with cross-functional team members to make sure high quality in deliverables
with no impact on timelines Confidential

What Do We Expect?
Expertise in computer programming languages such as: Python and Advance SQL
Should have working knowledge of Data Warehousing, Data Marts and Business Intelligence with hands-on experience implementing fully operational data warehouse solutions in production environments.
3+ years of Working Knowledge of Big data tools (Hive, Spark) along with ETL tools and cloud platforms.
3+ years of relevant experience in either Snowflake or Databricks. Certification in Snowflake or Databricks would be highly recommended.
Proficient in Data Modelling and ELT techniques.
Experienced with any of the ETL/Data Pipeline Orchestration tools such as Azure Data Factory, AWS Glue, Azure Synapse, Airflow etc.
Experience working with ingesting data from different data sources such as RDBMS, ERP
Systems, APIs etc.
Knowledge of modern data transformation tools, particularly DBT (Data Build Tool), for
streamlined and automated data pipelines (nice to have).
Experience in implementing DevOps practices for CI/CD to ensure robust and scalable data
solutions (nice to have).
Proficient in maintaining code versioning and effective collaboration within a version
controlled environment.
Ability to work effectively as an individual contributor and in small teams. Should have
experience mentoring junior team members.
Excellent problem-solving and troubleshooting ability with experience of supporting and
working with cross functional teams in a dynamic environment.
Strong verbal and written communication skills with ability to communicate effectively,
articulate results and issues to internal and client team.