As a Senior Software Engineer with expertise in Data Engineering with Convera, you will Collaborate with business stakeholders, product management, and enterprise architecture to define & evolve future state data strategy, architecture, and data roadmap. 

You will be responsible for: 

  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function policies procedures and compliance requirements that meet deliverables. 
  • Review and analyze complex multi-faceted larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. 
  • Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications. 
  • Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources like snowflake, SQL server. 
  • Review tools and technologies to create data architecture that supports new data initiatives and is useful in next-gen products. 
  • Increase automation and build analytic solutions at scale to serve the business requirements. 
  • Manages/improves the existing data platform capabilities to meet various compliance and regulatory requirements. 
  • Conduct thorough performance assessments of existing SSIS packages, identifying areas for optimization. 

You should apply if you have: 

  • Should have a bachelor’s or equivalent degree along with 8+ years of experience in Data Engineering specifically in ETL development. 
  • Experience with data warehousing, data architecture, ETL data pipeline and/or data engineering environments at enterprise scale that are built on Snowflake 
  • Experience with SSIS packages for large-scale data integration. 
  • Rewrite or enhance SSIS code to improve execution speed and resource utilization. 
  • Lead the design, development, and implementation of ETL processes using Talend 
  • Implement appropriate indexing and partitioning strategies to optimize data access. 
  • Enhance error handling mechanisms to ensure data integrity and reliability. 
  • Creation and maintenance of optimum data pipeline architecture for ingestion, processing of data by leveraging ETL tools like SSIS, Talend etc. 
  • Creation of necessary infrastructure for ETL jobs from a wide range of data sources 
  • Collecting data requirements, maintaining metadata about data 
  • Experience in Data storage technologies like Amazon S3, SQL, NoSQL, 
  • Experience in designing normalize and Der normalized database objects. 
  • Experience in optimizing AWS jobs from cost and performance point of view. 
  • Experience in writing complex SQL queries and store procedures. 
  • Data modeling technical awareness 
  • Conduct research and identify automation tasks. 
  • Integration using Talend/Talend API. 
  • Hands on experience developing pipeline using Lambda, Glue, Athena, real-time data ingestion pipeline development and other key AWS data services. 
  • Experience in working with stakeholders working in different time zones. 
  • Experience in reporting tools like powerBI, tableau etc. 
  • Hands on experience setting up Airflow message consuming through Kafka. 
  • Strong experience of implementing and managing Airflow for orchestrating purposes. 
  • Familiarity with performance tuning techniques for SQL Server databases. 
  • Proficient understanding of code versioning tools - Git, Gitlab, Github 
  • Knowledge of SDLC, Testing & CI/CD aspects such as Jenkins, BB, JIRA 
  • Good to have banking and finance domain experience

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