IntraEdge | Senior Data Manager

Data and Analytics ManagerExperience: 10+yrsLocation: Pune

(Hybrid)

We at Intraedge is looking for a Data and Analytics Manager who is accountable for the strategic governance and management of the data and Analytics framework and the full alignment with the different data teams in the portfolio. In this role, you will also initiate, implement, and monitor data management initiatives and support data governance committees and data management working groups to help the organization comply with global data management policies plus data management and record keeping standards. The responsibilities will be split between playing a senior delivery role (architecture, advisory, strategy), business and practice development, relationship management, and people management. Our team is looking for someone with proven experience and fluency in Cloud Data Engineering.

Skills PreferredAdvanced written, verbal, and analytic skills, and demonstrated ability to influence and facilitate sustained change.Ability to convey information clearly and concisely to all levels of staff and management about programs, services, best practices, strategies, and organizational mission and values.Proven ability to focus on priorities, strategies, and vision.Very Good understanding in Data Foundation initiatives, like Data Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools.Coordinate the change management process, incident management and problem management process.Ensure traceability of requirements from Data through testing and scope changes, to training and transition.Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.Capability to manage people from different background, accountability and delivery management, act as a people leader and clear communication skill with counterparts abroad

Knowledge PreferredExtensive knowledge with data architecture, system design understanding, data structure and big O notation, speed, consistency, scalability, optimization, and tradeoffs.Extensive knowledge and hands on experience working with Informatica or other ETL tools and its components.Extensive knowledge and hands on experience with Snowflake or other modern data warehouses and its different components.Implement and manage CI/CD for migrating and deploying codes to higher environments with Informatica, Snowflake etc.Proven experience with Access control and authentication, data security, data sharing, working with VS Code, replication, and failover, optimizing SQL, analytical ability to guide team on troubleshooting and debugging on development and production issues quickly is key for success in this role.Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases.Highly Experienced in building and optimizing complex queries. Good with manipulating, processing, and extracting value from large, disconnected datasets.Your experience in handling big data sets and big data technologies, understanding of data quality and master data management will be an asset.Proven champion with in-depth knowledge of any one of the scripting languages: Python, SQL, Pyspark.Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred.

Primary responsibilitiesYou will be an asset in our team bringing deep technical skills and capabilities to become a key part of projects defining the data journey in our company, keen to engage, network and innovate in collaboration with company wide teams.Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state.Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met.Leading teams of data engineers and other technical data team members through design, implementation, and best practices.Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization.Works to ensure the solutions recommended are providing business value and alignment with the organization's strategic goals.Communication with non-technical executives focusing on the value of modern enterprise level data solutions.Driving innovative technology solutions through thought leadership on emerging trends.Leadership within the Data & Analytics practice area focused on growth and development of capabilities and talent.Working in an onsite offshore model and working closely with counterparts abroad on day-to-day delivery.Owning delivery accountability and managing diverse data team members with their day-to-day activities and delivering quality code on time will be key for success in this role.

SkillsOverall different Data & Analytics techs 10+ yearsData Architecture design experience 5+ yearsWorking experience with major cloud vendors such as AWS, Google, AzureCloud based Informatica or other ETL tool 5+ yearsSnowflake or other data warehousing 5+ yearsSQL 5+ yearsData warehouse designing/ Data modeling experience 3+ yearsExperience with cloud and on-prem hybrid models in data architectureKnowledge of Data Governance and strong understanding of data lineage and data qualityProgramming & Scripting: Python, PysparkDatabase technologies such as Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)Understanding of Master data managementBasic understanding of data science and machine learningGood presentation skillDelivery ownership and team management capabilityManaged data related project delivery from offshore and led a team of 10+members

Nice to haveAWS cloud services: S3, Lambda, Glue and Kinesis and API Gateway, EC2, EMR, RDS, Redshift and KinesisGood understanding of Data Architecture approachesExperience in designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, Spark Streaming, Stream sets and similar cloud native technologies.Experience with implementation of operations concerns for a data platform such as monitoring, security, and scalabilityExperience working in DevOps, Agile, Scrum, Continuous Delivery and/or Rapid Application Development environmentsBuilding mock and proof-of-concepts across different capabilities/tool sets exposure.Experience working with structured, semi-structured, and unstructured data, extracting information, and identifying linkages across disparate data setsExperience with any visualization tool like Power BI.

Relevant work experienceBachelors in a Science, Technology, Engineering, Mathematics or Computer Science discipline or equivalent with 10+ Years of experience in enterprise-wide data warehousing, governance, policies, procedures, and implementation.Aptitude for working with data, interpreting results, business intelligence and analytic best practices.

Business understandingGood knowledge and understanding of Consumer and industrial products sector and IoT.Good functional understanding of solutions supporting business processes.

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