Lead - Data Engineering

The Purpose of This Role

The Lead Data Engineer will assist in design, work independently on development and implementation using best practices for data integration, which includes cloud and/or traditional infrastructure technologies. Your role will be to deliver data centric data integration solutions with transformation logic to be consumed by our customers. Strong written and verbal communication skills and the ability to mentor technical peers is encouraged. You will be responsible for working with the Data Architects, Business Analysts, Customers and Solution Architects when integrating data with end to end development activities.

The Value You Deliver

The associate would help the team in designing and building a best-in-class data solutions using very diversified tech stack.

• Strong experience of working in large teams and proven technical leadership capabilities
• Knowledge of Enterprise level implementations like Data warehouse, Automated solutions.
• Ability to negotiate, influence and work with business peers and management.
• Ability to develop and drive a strategy as per the needs of the team
• Good to have: Programming knowledge

The Skills that are Key to this role

Technical / Behavioral

• RMDS experience (Snowflake, PostgreSQL ) required
• Designing and developing low to moderate complex data integration solution required
• Hands on experience of ETL/ELT tools (Informatica / Nifi / Snaplogic) required
• Knowledge of Cloud platforms and Services (AWS IAM, EC2, S3, Lambda, RDS ) required
• Knowledge of data streaming tools like Kafka required

• Knowledge of data modeling techniques Preferred
• RDBMS experience (Oracle, MySQL and others) preferred
• Knowledge of non-RDBMS databases like Graph, No-SQL, Timeseries databases preferred
• Knowledge of Data Warehousing methodologies and concepts preferred
• Advanced data manipulation languages and frameworks (JAVA, PYTHON, JSON) preferred

The Skills that are Good to Have for this role

• Ability to work in an Agile team structure.
• Ability to gather customer requirements and make design decisions.
• Ability to mentor junior data engineers.
• Ability to multi-task across multiple projects within different contexts in a fast-paced environment
• Strong communication and presentation skills
• You know Amazon Web Services (EMR, Spark, Timestream, Iceberg, Glue)
• You know Job Scheduling Technologies like Autosys or Crontab
• You know Data Modelling and Data Analytics

How Your Work Impacts the Organization

Fidelitys Enterprise Infrastructure Data Services team is looking for data engineer who wants to deliver transformative IT data services. We are a dynamic group of professionals looking to leverage emerging models of data lake technologies to rapidly improve the productivity and experience of Fidelity's analytic and data scientist teams. We are working in continuous synergy across multiple IT areas to change the way our IT associates work and deliver.

The Expertise were looking for

• 5+ years of IT experience
• BE / B. Tech. / MCA / MS