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Lead Member of Technical Staff (LMTS) - Enterprise Data Services

2.00 to 0.00 Years   Hyderabad   02 Sep, 2021
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and Technology Job DetailsHave you mastered the balance between creativity and technology Are you looking to join a technical team trusted to deliver mission critical business services that help scale the organization and create unprecedented business value Do you want to be part of a business that s improving the state of the world and creating equality for all We are looking for an Lead Member of Technical Staff (LMTS) to join our IT Applications - Enterprise Data Services (EDS) team and own delivery of Data Services and Ananlytics for various business domains and data analytics teams that include Sales, Marketing, Finance, and Employee Success and others.ROLE :The Salesforce Enterprise Data Services team is looking for a seasoned DataEngineer specialized in DW/BI/Data Analytics stack, who will work on designing, developing and implementing Data lakes, Data Marts and Warehouse solutions on on-premise and public Cloud platforms. This requires the candidate to be able to learn quickly, work in a fast paced environment, and have the ability to communicate well with technical and techno functional personnel.Responsibilities

  • Designing and deploying dynamically high available, highly salable, Highly Durable, Fault tolerant enterprise-wide DW/BI/Data Analytics applications on the Hybrid platforms [OnPrem/Cloud].
  • Migrating complex, multi-tier Data applications to Cloud Platforms
  • Designing, developing and implementing Data lakes, Marts, Warehouse and Business Intelligence solutions aligned with the Enterprise data architecture.
  • Evaluate and Design Data pipeline solutions for the various Data patterns like structured and semi structured.
  • Design and implementation of the Automation pipelines for Data Ingestion, Deployment, Testing, Data Quality, Data Governance etc.
  • Ability to implement essential security measures across Data life-cycle.
  • Lead and technically mentor group of smart engineers and senior engineers
  • Create/review technical documentation for all new and modified objects.
  • Ensure quality assurance plan and cases are comprehensive to test and validate the solution thoroughly.
  • Support QA, UAT and performance testing phases of development cycle.
  • Evaluate, determine root cause and resolve production issues.
  • Work closely with other IT development groups to deliver coordinated software solutions.
  • Strong leadership, relationship building, and negotiating skills.
  • Outstanding written, verbal, and interpersonal skills.
  • Ability to operate in a complex environment of multiple projects and stakeholders and to participate in several projects simultaneously.
POSITION REQUIREMENTS
  • Minimum 12 years relevant experience in delivering Data Engineering solutions on Cloud/On-Prem
  • Minimum 10 Years hands on experience in any industry specific ETL Technologies Abinitio, Informatica, Talend, etc.
  • Minimum 4 Years hands on experience in any industry specific Business Intelligence Technologies Tableau, Einstein Analytics, Power-BI, Cognos etc.
  • Minimum 10 years of experience in Various OLAP storage platforms like Oracle Exadata, Terradata, Green-plum etc.
  • Minimum 3 Years experience in Experience in Cloud Data warehousing solutions(Snowflake, Redshift, BigQuery) and Data lake solutions using AWS/GCP/Azure platforms.
  • At least 2 years of Strong programming skills on Unix Shell programming, Python, Spark.
  • At least 2 years of Strong experience in the orchestration tools like Air-flow, AWS Data plines, Glue Workflows , AWS step functions etc.
  • At least 2 years of experience with scheduling tools like control M, AutoSys, Tidal etc.
  • Good Experience in Big Data Technologies (Hadoop, Hive, Sqoop, Kafka etc.),
  • Familiarity with data virtualization/Wrangling concepts preferred.
  • Hands on Experience in Performance and Process optimization across the Data pipelines.
  • Experience in capacity planning for large scale enterprise data lake, Data Marts and Data warehouses.
  • Knowledge of Devops and SysOps technologies like Ansible, Puppet, Git, Terraform, and/or Jenkins.
Additional preferred skills:
  • Exposure to Mulesoft integration Technology.
  • Experience in Salesforce force.com is a strong plus.
  • Exposure to agile methodology - scrum/kanban.
AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org .Salesforce welcomes all.,

Keyskills :
data governancekanbanbig datadata servicesenterprise datadata martsdata analyticsmarketingcost reductionit developmentroot causedata qualityinspectioncontrol m

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