Senior Consultant at Global Village Consulting
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Data Engineering Manager - Data Lake Implementations - AWS/Azure - IT Software (13-20 yrs)
Data Engineering Manager - IT Software - Data Lake Implementations - AWS/AZURE - 13 - 20 years Exp
Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis?
If so, our client's Business Intelligence team is looking for highly motivated, detail-oriented, technical savvy, energetic leader who like to think outside the box and want to lead a team with many exciting responsibilities which include building high quality, scalable and resilient distributed systems that power analytics platform and data pipelines.
Enterprise Data warehouse landscape caters to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are integral part of business functions like Sales, Operations, Finance, Marketing and Internet Services, enabling business drivers to make critical decisions. Leverage a diverse technology stacks such as Teradata, HANA, Vertica, Hadoop, Kafka, Spark, Cassandra and beyond. Designing, Developing and scaling these big data technologies are a core part of our daily job.
Key Qualifications -
- Leadership skills including building the team and platform. As a Data Engineering Leader, you will be responsible for hiring, training and providing technical direction to the team.
- In-depth understanding of data structures and algorithms
- Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data
- Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hadoop
- Programming experience in building high quality applications, data pipelines and analytics solutions. Experience in developing Big Data applications using java, Spark, Hive, Oozie, Kafka, and Map Reduce is a huge plus
- Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs. Experience with data science and machine learning tools and technologies is a plus
- Demonstrate strong understanding of development processes and agile methodologies
- Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quick
Job Description :
- Lead Data Warehouse/Business Intelligence development team in developing solutions
- Lead the design for database and data pipeline/ETL using emerging technologies and tools
- Lead the reporting and dashboarding solutions using innovative packaged and custom built tools
- Drive the team to develop operationally efficient analytic solutions
- Manage resources/budget and partner with global functional and business teams
- Manage multiple teams and projects
- Define standards, methodologies for Data Warehousing environment
- Design and build data structures on MPP platform like Teradata, Hadoop to provide efficient reporting and analytics capability
- Design and build highly scalable data pipelines using new generation tools and technologies like Spark, Kafka to induct data from various systems
- Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Strong understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency
- Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
- Manage and mentor people and plan their career growth and focus on creating a cohesive team environment
Education
Bachelor's Degree or Equivalent with 10+ years of experience in data engineering, computer science or statistics field with at least 2+ years of experience in leadership/management role.
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