Sr. Data Engineer

•                      Setting up Semarchy MDM tools and maintenance else should have MDM product experience ( There are 25+ tools in this space such as Informatica MDM, IBM MDM, Reltio MDM, Profisee MDM etc) (Mandatory)

•                      Strong database management skills – Snowflake/SQL/ DBT. (Mandatory)

•                      Strong cloud infra e.g. ADLS & ADF.

•                      Expertise in relational and dimensional data modeling.

•                      Designing and developing efficient data ingestion processes, data models, and data pipelines leveraging the power of Snowflake/ Redshift / Bigquery

•                      Collaborating extensively with clients to gain a deep understanding of their data requirements and translating them into robust technical solutions.

•                      Implementing end-to-end ETL/ELT workflows to seamlessly extract, transform, and load data into Snowflake/ Redshift / Bigquery

•                      Optimizing data pipelines to achieve exceptional performance, scalability, and reliability.

•                      Conducting thorough data quality assessments and implementing effective data governance best practices.

•                      Monitoring and troubleshooting data integration processes to ensure the utmost accuracy and integrity of data.

QUALIFICATIONS AND EXPERIENCE: (Academic, Professional, Experience)

•                      Excellent oral and written, and problem-solving skills are required.

•                      Candidate should be comfortable working in a fast-paced environment and can help build APIs, Calculators, on new cutting-edge cloud and big data technologies such as Snowflake, Fivetran, DBT, Python etc.

•                      Top-notch lead engineering talent with 8+ years of experience building and managing data related solutions preferably in financial industry.

•                      Experience using ETL/ELT tools and technologies such as Azure Data Factory, SSIS a plus.

•                      Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime, and reliability in mind