Job Description
Description
About this role
About the Team
The DOE team is responsible for the data ecosystem within BlackRock. Our goal is to build and maintain a leading-edge data platform that provides highly available, consistent data of the highest quality for all users of the platform, notably investors, operations teams and data scientists. We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin.
Data Pipeline Engineers at BlackRock get to experience working at one of the most recognized financial companies in the world while being part of a software development team responsible for next generation technologies and solutions. Our engineers design and build large scale data storage, computation and distribution systems. They partner with data and analytics experts to deliver high quality analytical and derived data to our consumers.
We are looking for data engineers who like to innovate and seek complex problems. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. We are committed to open source and we regularly give our work back to the community. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates.
Responsibilities
• Data Pipeline Engineers are expected to be involved from inception of projects, understand requirements, architect, develop, deploy, and maintain data pipelines (ETL / ELT). Typically, they work in a multi-disciplinary squad (we follow Agile!) which involves partnering with program and product managers to expand product offering based on business demands. Design is an iterative process, whether for UX, services or infrastructure. Our goal is to drive up user engagement and adoption of the platform while constantly working towards modernizing and improving platform performance and scalability.
• Deployment and maintenance require close interaction with various teams. This requires maintaining a positive and collaborative working relationship with teams within DOE as well as with wider Aladdin developer community. Production support for applications is usually required for issues that cannot be resolved by operations team. Creative and inventive problem-solving skills for reduced turnaround times are highly valued.
• Preparing user documentation to maintain both development and operations continuity is integral to the role.
Ideal candidate would have
• At least 5+ years’ experience as a data engineer
• Experience in SQL, Sybase, Linux is a must
• Data analysis experience including profiling, data validation and QC (including building test cases for filtering bad or duplicate data), identifying trends, data optimization techniques
• Understanding conceptual, logical and physical data modeling, building data model diagrams
• Experience coding in two of these languages for server side/data processing is required Java, Python, C++
• Eexperience using modern data stack (spark, snowflake, Big Query etc.) on cloud platforms (Azure, GCP, AWS)
• Experience building ETL/ELT pipelines for complex data engineering projects (using Airflow, dbt, Great Expectations would be a plus)
• Experience with Database Modeling, Normalization techniques
• Experience with object-oriented design patterns
• Experience with dev ops tools like Git, Maven, Jenkins, Gitlab CI, Azure DevOps
• Experience with Agile development concepts and related tools
• Ability to trouble shoot and fix performance issues across the codebase and database queries
• Excellent written and verbal communication skills
• Ability to operate in a fast-paced environment
• Strong interpersonal skills with a can-do attitude under challenging circumstances
• BA/BS or equivalent practical experience
Skills that would be a plus
• Perl, ETL tools (Informatica, Talend, dbt etc.)
• Experience with Snowflake or other Cloud Data warehousing products
• Exposure with Workflow management tools such as Airflow
• Exposure to messaging platforms such as Kafka
• Exposure to NoSQL platforms such as Cassandra, MongoDB
• Building and Delivering REST APIs
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, ****** orientation and other protected attributes at law
About this role
About the Team
The DOE team is responsible for the data ecosystem within BlackRock. Our goal is to build and maintain a leading-edge data platform that provides highly available, consistent data of the highest quality for all users of the platform, notably investors, operations teams and data scientists. We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin.
Data Pipeline Engineers at BlackRock get to experience working at one of the most recognized financial companies in the world while being part of a software development team responsible for next generation technologies and solutions. Our engineers design and build large scale data storage, computation and distribution systems. They partner with data and analytics experts to deliver high quality analytical and derived data to our consumers.
We are looking for data engineers who like to innovate and seek complex problems. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. We are committed to open source and we regularly give our work back to the community. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates.
Responsibilities
• Data Pipeline Engineers are expected to be involved from inception of projects, understand requirements, architect, develop, deploy, and maintain data pipelines (ETL / ELT). Typically, they work in a multi-disciplinary squad (we follow Agile!) which involves partnering with program and product managers to expand product offering based on business demands. Design is an iterative process, whether for UX, services or infrastructure. Our goal is to drive up user engagement and adoption of the platform while constantly working towards modernizing and improving platform performance and scalability.
• Deployment and maintenance require close interaction with various teams. This requires maintaining a positive and collaborative working relationship with teams within DOE as well as with wider Aladdin developer community. Production support for applications is usually required for issues that cannot be resolved by operations team. Creative and inventive problem-solving skills for reduced turnaround times are highly valued.
• Preparing user documentation to maintain both development and operations continuity is integral to the role.
Ideal candidate would have
• At least 5+ years’ experience as a data engineer
• Experience in SQL, Sybase, Linux is a must
• Data analysis experience including profiling, data validation and QC (including building test cases for filtering bad or duplicate data), identifying trends, data optimization techniques
• Understanding conceptual, logical and physical data modeling, building data model diagrams
• Experience coding in two of these languages for server side/data processing is required Java, Python, C++
• Eexperience using modern data stack (spark, snowflake, Big Query etc.) on cloud platforms (Azure, GCP, AWS)
• Experience building ETL/ELT pipelines for complex data engineering projects (using Airflow, dbt, Great Expectations would be a plus)
• Experience with Database Modeling, Normalization techniques
• Experience with object-oriented design patterns
• Experience with dev ops tools like Git, Maven, Jenkins, Gitlab CI, Azure DevOps
• Experience with Agile development concepts and related tools
• Ability to trouble shoot and fix performance issues across the codebase and database queries
• Excellent written and verbal communication skills
• Ability to operate in a fast-paced environment
• Strong interpersonal skills with a can-do attitude under challenging circumstances
• BA/BS or equivalent practical experience
Skills that would be a plus
• Perl, ETL tools (Informatica, Talend, dbt etc.)
• Experience with Snowflake or other Cloud Data warehousing products
• Exposure with Workflow management tools such as Airflow
• Exposure to messaging platforms such as Kafka
• Exposure to NoSQL platforms such as Cassandra, MongoDB
• Building and Delivering REST APIs
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, ****** orientation and other protected attributes at law
💡 Quick Summary
Seeking a career-building opportunity? The Associate | Data Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Gurgaon offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.