Senior Software Engineer - Data Engineering

October 29

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Convera

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1001 - 5000

Description

• 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.

Requirements

• 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.