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The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.&nbsp;&nbsp;Responsibilities<ul><li>Design and implement data engineering solutions in bigdata space&nbsp;</li><li>Design and implement batch and streaming solutions to support near real-time analytics</li><li>Collaborate with architects, tech leads, QA, business stakeholders, and project managers to design and develop solutions in AWS Databricks.</li><li>Develop end-to-end Enterprise grade solutions, facilitate discussions with business &amp; IT stakeholders and highlighting the outcomes that can be delivered through these solutions.</li><li>Develop data models based on the source systems</li><li>Part of 24x7 on-call rotation process for production support (Short-term)</li><li>Troubleshoot production issues and bug fixes</li><li>Translate business requirements into technical specs</li><li>Coach fellow developers being a hands-on developer as part of a global team</li></ul> Qualifications<ul><li>Bachelor's degree in Computer Science (or related field)</li><li>8+ years of IT experience in big data space like Hadoop, data lake, data engineering using Python &amp; Spark programming languages</li><li>Minimum 3 year of experience in Databricks workspace, Databricks notebooks, Job cluster, Delta Lake, Databricks Lakehouse and Unity catalog</li><li>Minimum 5 years' experience in PySpark and Python development</li><li>6+ year's design and/or implementation of data pipelines</li><li>Experience on design and development of Data pipelines and ETL/ELT jobs to ingest and process data in data lake</li><li>Strong working knowledge of SQL Server, No SQL, Spark SQL, Data Modeling, Identity &amp; Access Management, Query optimization, Parallel processing</li><li>Experience in processing streaming data using Kafka / Pub-Sub</li><li>Experience in AGILE development, SCRUM and Application Lifecycle Management (ALM)</li><li>Must have knowledge in Datawarehouse concepts</li><li>Hands-on experience in full life-cycle of software development</li></ul> <ul><li>Plus to have experience in IaaS using Terraform</li><li>Plus to have experience in Pandas and TensorFlow</li><li>Plus to have Java, JavaSpark experience.</li><li>Plus to have Databricks certifications</li></ul>

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.&nbsp;&nbsp;Responsibilities<ul><li>Design and implement data engineering solutions in bigdata space&nbsp;</li><li>Design and implement batch and streaming solutions to support near real-time analytics</li><li>Collaborate with architects, tech leads, QA, business stakeholders, and project managers to design and develop solutions in AWS Databricks.</li><li>Develop end-to-end Enterprise grade solutions, facilitate discussions with business &amp; IT stakeholders and highlighting the outcomes that can be delivered through these solutions.</li><li>Develop data models based on the source systems</li><li>Part of 24x7 on-call rotation process for production support (Short-term)</li><li>Troubleshoot production issues and bug fixes</li><li>Translate business requirements into technical specs</li><li>Coach fellow developers being a hands-on developer as part of a global team</li></ul> Qualifications<ul><li>Bachelor's degree in Computer Science (or related field)</li><li>8+ years of IT experience in big data space like Hadoop, data lake, data engineering using Python &amp; Spark programming languages</li><li>Minimum 3 year of experience in Databricks workspace, Databricks notebooks, Job cluster, Delta Lake, Databricks Lakehouse and Unity catalog</li><li>Minimum 5 years' experience in PySpark and Python development</li><li>6+ year's design and/or implementation of data pipelines</li><li>Experience on design and development of Data pipelines and ETL/ELT jobs to ingest and process data in data lake</li><li>Strong working knowledge of SQL Server, No SQL, Spark SQL, Data Modeling, Identity &amp; Access Management, Query optimization, Parallel processing</li><li>Experience in processing streaming data using Kafka / Pub-Sub</li><li>Experience in AGILE development, SCRUM and Application Lifecycle Management (ALM)</li><li>Must have knowledge in Datawarehouse concepts</li><li>Hands-on experience in full life-cycle of software development</li></ul> <ul><li>Plus to have experience in IaaS using Terraform</li><li>Plus to have experience in Pandas and TensorFlow</li><li>Plus to have Java, JavaSpark experience.</li><li>Plus to have Databricks certifications</li></ul>

The Senior Data Developer of Data Governance is accountable to create, implement and advance the Global Data Governance long term strategy and development of its services. This position is directly accountable to support and develop data-driven services and to deliver on-time data through innovative solutions to meet the needs of the pharmaceutical and biotech industries.<ul><li>Technical expertise with overall responsibility for delivering technical services (data governance platform, data quality platform, data quality analysis, data integration and support) for data governance projects.</li><li>Assist with establishing our global data architecture.</li><li>Perform data analysis and implement recommended solutions that enhances the value of our data.</li><li>Work with IT and business SMEs to develop requirements (functional/non-functional/operational/data quality) for data Management and for data governance.</li><li>Implement end to end metadata, lineage and data quality solution by leveraging Collibra, Informatica, and other tools.</li><li>Hands-on developer to build technical data solutions to build an enterprise-wide standardized, harmonized data monitored for data quality.</li></ul>Job Type: Full-timeSalary: Up to ₹1,200,000.00 per yearBenefits:<ul><li>Paid sick time</li><li>Paid time off</li></ul>Schedule:<ul><li>Day shift</li></ul>Supplemental pay types:<ul><li>Performance bonus</li></ul>Ability to commute/relocate:<ul><li>Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>total work: 5 years (Preferred)</li></ul>

PeopleLocus

Senior Databricks Developer

Senior Databricks Developer

Senior Data Governance Engineer

Senior Data Governance Engineer