Damco Solutions
Cloud Data engineer
Damco Solutions, New York, New York, us, 10261
Role: Cloud Data engineerLocation: NYC NY (Onsite)(Hybrid)
Job Description :This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise.Major Responsibilities:
Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.Proficient in developing programs in Python and SQLExperience with Data warehouse Dimensional data modeling.Working with event based/streaming technologies to ingest and process data.Working with structured, semi structured and unstructured data.Optimize Databricks jobs for performance and scalability to handle big data workloads.Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.Skills:
5+ years Python coding experience.5+ years - SQL Server based development of large datasets5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.Experience with Cloud based data architectures, messaging, and analytics.Cloud certification(s).ny experience with Airflow is a Plus.We can offer you:
highly competitive compensation and benefits packagemultinational organization with 55 offices in 20 countries and the possibility to work abroadLaptop and a mobile phone10 days of paid annual leave (plus sick leave and national holidays)Maternity & Paternity leave planscomprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)Retirement savings planshigher education certification policyCommuter benefits (varies by region)Extensive training opportunities, focused on skills, substantive knowledge, and personal development.On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated coursesCoaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groupsCutting edge projects at the world's leading tier-one banks, financial institutions and insurance firmsflat and approachable organizationtruly diverse, fun-loving and global work culture
Job Description :This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise.Major Responsibilities:
Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.Proficient in developing programs in Python and SQLExperience with Data warehouse Dimensional data modeling.Working with event based/streaming technologies to ingest and process data.Working with structured, semi structured and unstructured data.Optimize Databricks jobs for performance and scalability to handle big data workloads.Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.Skills:
5+ years Python coding experience.5+ years - SQL Server based development of large datasets5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.Experience with Cloud based data architectures, messaging, and analytics.Cloud certification(s).ny experience with Airflow is a Plus.We can offer you:
highly competitive compensation and benefits packagemultinational organization with 55 offices in 20 countries and the possibility to work abroadLaptop and a mobile phone10 days of paid annual leave (plus sick leave and national holidays)Maternity & Paternity leave planscomprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)Retirement savings planshigher education certification policyCommuter benefits (varies by region)Extensive training opportunities, focused on skills, substantive knowledge, and personal development.On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated coursesCoaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groupsCutting edge projects at the world's leading tier-one banks, financial institutions and insurance firmsflat and approachable organizationtruly diverse, fun-loving and global work culture