Data Engineer at IQ-EQ

Hyderabad, Andhra Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

22 Jul, 26

Salary

0.0

Posted On

23 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data engineering, Python, SQL, AWS, Azure, PySpark, Pandas, Data warehousing, ETL, Linux, Bash scripting, Kafka, Data modeling, API development, Team leadership, Problem solving

Industry

Financial Services

Description

Company Description ABOUT IQ-EQ We’re a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide. We employ a global workforce of 5,800+ people across 25 jurisdictions and have assets under administration (AUA) exceeding US$750 billion. We work with 13 of the world’s top 15 private equity firms. Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts. Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding. We’re driven by our Group purpose, to power people and possibilities. Job Description We have a fantastic opportunity for an experienced Data Engineer to join our global team in an Engineering Manager role. This role will play a major part in the delivery of our Group Data Strategy and Data Transformation Journey by delivering, enhancing, and maintaining our IQEQ Data Platform which will drive how our data is managed and used to deliver outcomes in a host of key areas to maximise business value and growth delivering improvements for internal and external stakeholders and clients. This is a deeply technical, hands-on role requiring an experienced practitioner who will get directly involved in expanding and optimizing our data pipeline architecture. We need a proven data engineering professional with extensive, current experience in building and managing complex data infrastructures. The ideal candidate will have a track record of rolling up their sleeves to construct, troubleshoot, and refine data pipelines through direct, practical work. You will actively support our software developers, database architects, data analysts, and data scientists by directly implementing data initiatives, not just strategizing. Your day-to-day responsibilities demand practical, technical expertise in data wrangling, with a proven ability to navigate and leverage significant data assets to build optimal production-ready models. You will ensure optimal data delivery architecture is consistent throughout ongoing projects and you must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Tasks (what does the role do on a day-to-day basis) Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS, Azure ‘big data’ technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems Document source-to-target mappings Re-engineer manual data flows to enable scaling and repeatable use Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally Develop business intelligence reports that can be reused Supporting the Lead Data Engineer providing day to day supervision of the Data Science and Engineering team Provide in-country coordination for the team ensuring the India team adheres to processes and policy at the local level Key behaviours we expect to see In addition to demonstrating our Group Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Communicates Effectively – Adjusting communication style to fit the audience & message. Providing timely information to help others across the organisation. Encourages the open expression of diverse ideas and opinions Action Orientated – Readily taking action on challenges without unnecessary planning and identifies new opportunities, taking ownership of them Interpersonal Savvy – Relating comfortably with people across all levels, functions, cultures & geographies. Builds rapport in an open, friendly & accepting way An analytical mind, excellent problem-solving & diagnostic skills, attention to detail Qualifications Education / professional qualifications Bachelor's degree in computer science or another related field 4-6 years of experience in software engineering. Specific experience in Data Engineering and Analytics Background in Financial Industry preferred. Background & Technical experience Proficiency in Linux fundamentals and Bash scripting skills. Programming expertise in one or more languages, mainly: Python, Go, Scala, C++, Kotlin Expertise on Python libraries - Pandas, Numpy, PySpark, Dask. In-Depth Knowledge of Algorithms and Data Structures Deep understand of database systems e.g., PgSQL/MySQL and Microsoft SQL server Experience with at least one cloud platforms e.g., AWS, Azure, GCP Experience with one or more Datalakes/Datawarehouses - Snowflake / DataBricks / Redshift etc Experience in Stream processing - Kafka, Kineses etc Experienced in the implementation of Data warehousing solutions Experienced in the implementation of API solutions and tooling Other company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Possess the skills and the personality to operate effectively in a very fast-paced complex global business with an in-depth knowledge of program management Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary Experience of leading and mentoring teams. Strong analytical and troubleshooting skills. Ability to investigate and analyse information, and to draw conclusions. Experience/Exposure to ISO 27001 Infosec compliances Languages Fully proficient in spoken and written English, additional European languages will be an asset Additional Information OUR COMMITMENT TO YOU AND THE ENVIRONMENT As a forward-looking business, sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining meaningful, long-term relationships with all our stakeholders – including our employees, clients, and local communities – while also reducing our impact on our natural environment. There is always more we can, and should do, to improve – whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We’re committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee. Our learning and development programmes and systems enable us to invest in growing our employees’ careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 5,800+ employees - from 94 nationalities, speaking 41 languages across 25 countries - to each achieve their potential. Through IQ-EQ Launchpad we support female managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced. We’re committed to growing long-term relationships with our clients and supporting them in achieving their objectives. We understand that our client’s sustainability and success leads to our sustainability and success. We’re emotionally invested in our clients right from the beginning. Department: Technology Type of Hire: Permanent

Responsibilities

The role involves designing and maintaining complex data pipeline architectures and optimizing data infrastructure to support business intelligence and analytics. You will also lead and mentor the data engineering team while collaborating with stakeholders to deliver scalable data solutions.