Data Engineering Manager

2 months ago

gurugram, India GEMINI Full time

Department

: Analytics

Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the analysts, scientists, and engineers that make up the Data team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including product strategy, user acquisition and journey, cryptocurrency performance and project development, and crypto’s position as a technology, industry, and asset class within the context of the global financial
markets at large.

The Role: Data Engineering Manager

As the leader, you'll shape the way we approach data at Gemini by creating a strategic vision for how data can help drive our business growth. You will build and manage a high-performance data engineering team and leverage your data experience and communication skills to work across business teams to develop innovative data solutions. You will inspire and mentor a strong data team through your passion for data and its ability to transform decision-making and generate solutions for this new, exciting asset class. Communicating your insights and driving new product development across the organization is paramount to success. You will also be looked upon to share Gemini's data vision and products externally.

Responsibilities:

Lead team responsible for scaling our data infrastructure and optimizing our warehouse's performance Lead design, architecture and implementation of best-in-class Data Warehousing and reporting solutions Lead and participate in design discussions and meetings Lead and mentor data engineers Design, automate, build, and launch scalable, efficient and reliable data pipelines into production Build real-time data and reporting solutions Oversee design, build and enhance dimensional models for Data Warehouse and BI solutions Research new tools and technologies to improve existing processes Develop new systems and tools to enable the teams to consume and understand data more intuitively Partner with engineers, project managers, and analysts to deliver insights to the business Own responsibilities around root cause analysis, production and data issues such as validation

Qualifications:

5-7+ years experience bringing a data infrastructure to the next level including the overhaul of data, pipelines, architecture and modeling 7+ years experience in custom ETL design, implementation and maintenance 7+ years experience with schema design and dimensional data modeling Experience building real-time data solutions and processes Experience building and integrating web analytics solutions Advanced SQL skills is a must Experience and expertise in Databricks, Spark, Hadoop etc. Skilled in programming languages Python and/or Java Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc) Experience with one or more ETL tools(Informatica, Pentaho, SSIS, Alooma, etc) Experienced building cross functional teams across different departments Strong technical and business communication It Pays to Work Here The compensation & benefits package for this role includes: Competitive base salary Benefits Discretionary annual bonus

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