Job Location: Mumbai
Resourceful and motivated individual for leading the Solution.AI Analytics team. As a Senior Manager you need to help the clients with Analytical solution at every stage with E2E building and deployment of data base models and reporting KPIs. To achieve this goal successfully he or she should be able to manage team of diverse skill sets .programmer cloud analyst Data Engineers etc.. mentor or coach the junior members in the team QC the E2E process drive value by providing best solution bring new opportunities new clients across the globe and achieve increase yearly sales target. Responsibilities or Authorities Strong expertise on one or more business or functional domain Lead the project deliverables such as business case development solution vision and design user requirements solution mockup prototypes Exhibit outlook to bring continuous improvement innovation and exhibit capability to learn new areas .technology business domain project management process. Ability to take the decision to ensure smooth delivery for multiple customer engagements Partner with Project Manager in delivering projects and assist in project management responsibility like – project plans people management staffing and risk mitigation Ability to work on Business development proposals to generate opportunity and grow the team Excellent communication Leadership Skills with ability to thrive in a fast paced dynamic environment and operate under stringent timelines Collaborate with other Stake holders across the globe and ensure seamless communication Delivery Deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.
JOB REQUIREMENTS – Overall Experience Minimum 12 Years of Experience
Experience in handling multiple data engineering teams across multiple customers Deployment of E2E solution for more that 1 client in more than 1 geography Industry Experience in more than 1 domain Hands on experience in build and deployment of Data pipelines creation of Data Lake following best practices Hands on experience in Design build maintain efficient reusable reliable solutions Experience with big data tools: Hadoop Spark Kafka etc.
Experience with relational SQL and NoSQL databases Strong programming skills including Python Scala Java etc. ETL with informatica snowflake and other schemas Experience with various Cloud platforms like AWS Azure GCP and exposure to Containers .Dockers. services like .EC2 EMR RDS Redshift Glue Athena CI or CD Lambda. Understanding Streaming data processing and exposure to related tools like Kafka Apache Flink Amazon Kinesis Understanding Data Orchestration and exposure to related tools like Airflow Stitch Understand concepts of Data Warehousing solutions Knowledge on Data Privacy Data Governance Data Compliance Security Data Visualization Skills Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical people
JOB ROLES AND KEY SKILLS REQUIRED Requested Role
Role Category Role Description Data Engineer Data Engineering
Description: The data engineer will have responsibility for all data ingress into data lake or DWH maintain the correct content format and integrities all through the lifetime of such data. Develop and deliver visualization dashboards or data solutions to support business needs requirements by creating and optimizing data pipelines and data models for analytical solution s data lake or data warehouses towards specific micro services. Responsibilities: Acumen for business flow understanding and expertise in data preparation and pre-processing SQL knowledge and experience working with relational databases query authorizing .SQL. as well as a variety of other databases or date-sources. Data exploration tools like Tableau is preferred. Big data tools like Hadoop Spark Kafka etc. Data and Model pipeline and workflow management tools. Stream-processing systems like Storm Spark-Streaming etc. Object-oriented or object function scripting languages like Python Java C Scala etc. Technical Skills: Structured Query Language .SQL. ETL with informatica snowflake and other schemas Scala Spark Teradata Hive Impala Cloudera Kudu Kafka hortonworks Cloud – AWS GCP Azure Microsoft Excel Critical Thinking R or Python-Statistical Programming is good to have Data Visualization Presentation Skills
EDUCATION QUALIFICATIONB.Tech .BE. or M.Tech.ME. Degrees from Top Colleges in India or Abroad Equivalent Degrees in computer science.
LOCATION Bangalore or Mumbai or Gurgaon or Chennai
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