Microsoft Technology Consulting - Data Engineering 

India, Telangana, Hyderabad 

678811576

Industry Solution -India Global Deliverydelivers end-to-end solutionsAn organization of well over000+ exceptional people, IGDpresents a greatconsulting, solution development and delivery roles. The ideal consultantproduct depth, and has the drive and courage to articulate and stand up for agreat solution delivering true value for the client.

As a Microsoft consultant, you will deliver quality engagements with your expertise, either as an advisor, reviewer,or resource in high profile projectstheir technical skills,leadership skills,deliver greatand solutions.objectives.

• Works as Individual contributortheengineering team and provides accurate time estimates, sets work priorities, and makes project changes and trade-offs necessary for a successful release.
• Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
• Works to accelerate the value proposition of customer or partner engagements by helping to design, develop, and deploy solutions, based on Microsoft technologies and methodologies.
• Applies information-compliance and assurance policies to ensure stakeholder confidence.
• Responsible for the overall efficacy and quality of a project team’s technical delivery within his or her engagements.
• Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
• Identifiesthe bestpractice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital with customers, world-wide, and for programs and initiatives across Microsoft.
• Drives opportunities to expand or accelerate the adoption and consumption of the cloud and Microsoft technologies.
• Drives innovation and digital transformation. Ensures the use of the existing intellectual property (IP) and improves predictability.
• Defines the technology strategy for large and complex engagements, so that customers or partners realize the full value of investment. Responsible for implementing the technology strategy.
• Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.

Areas of Expertise

• + years of Data Engineering experience
• Must-have

• + Experience in designing and driving Data Warehouse solutions (ex: Azure Synapse Analytics, Snowflake, Teradata) and building analytical solutions.
• Strong Experience in large database solutions, on premises, cloud, and hybrid implementations
• Strong experience in Data Engineering:

• One or more technologies in Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight, Hbase, Oozie
• Lambda/Kappa architecture, Time series data
• Azure Stream Analytics, Azure Analysis Service, Must have experience in one or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza)
• Ability to design and drive large Data Migrations using necessary ETL technologies with one or more technologies: ADF, SSIS, Talend, Pentaho, Informatica.
• Drive multi-tenant database designs, security hardening of the data platform.
• Expertise in implementation of Data governance practices using either open source or proprietary tools.
• Expertise in Data Ops

• Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture with any one or more of the following technologies:

• Columnar (RedShift or Vertica)
• Anyone or more of these OSS (MySQL, PostgreSQL and MariaDB)
• Anyone or more of CosmosDB technologies (MongoDB, Redis, Cassandra - key-value stores, Graph databases, RDF triple stores)

• Familiarity with the technology stack available in the industry for metadata management: Data Quality, MDM, Lineage, Data Catalogue, Data Mesh and Data Modelling.

• Strong experience of full application life cycle design tools and methodologies

• Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible.
• Industry experience in one or more of the following industries: automotive, energy, travel and transportation, financial services, government, health, manufacturing, media & communications, or retail/supply chain.