Data Engineer at Principal Financial Group

Principal Financial Group · Pune, Maharashtra

📋 Job Details at a Glance 📍 Location Pune, Maharashtra 🏢 Company Principal Financial Group 👥 Experience 2-3 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹8L – ₹14L LPA (Estimated) 🏢 Industry Technology 🛠 Key Skills Python PySpark SQL AWS Azure DMS Step Functions Lambda Glue DynamoDB Data Engineer at Principal Financial Group — Full Details & How to Apply Principal Financial Group is seeking a skilled Data Engineer in Pune, Maharashtra to transform data into actionable insights. This role offers a unique opportunity to contribute to innovative projects in a leading technology-driven environment. As organizations increasingly rely on data to inform decisions, the demand for proficient Data Engineer jobs has surged, making this position not just relevant but essential in today’s data-centric landscape. In the current technology landscape, the role of a Data Engineer is pivotal for businesses aiming to harness the power of big data and analytics. With the exponential growth of data generation, companies are in dire need of skilled professionals who can optimize data pipelines and enhance data accessibility. This demand translates into a wealth of opportunities for Data Engineers , especially those equipped with the right tools and skills. As a Data Engineer , you will be at the forefront of this transformation, directly impacting your organization’s ability to deliver superior financial services. Principal Financial Group stands out as an employer that values innovation and collaboration. With a commitment to leveraging technology for financial solutions, this company provides an exciting platform for Data Engineers to thrive. The organization fosters a culture of continuous learning and development, encouraging employees to stay ahead of industry trends. By joining Principal Financial Group , you will be part of a team that is dedicated to pushing the boundaries of what technology can achieve in the financial sector. This opportunity is ideal for both freshers and candidates with up to 3 years of experience . Candidates must hold a B.Tech, MCA, or any graduate degree and belong to the 2023, 2024, 2025, and 2026 batches. If you are passionate about data and eager to make a significant impact in a technology-driven environment, this role is tailored for you. Your background in Python , SQL , and cloud platforms like AWS or Azure will serve you well in this position. As a Data Engineer at Principal Financial Group , you will gain invaluable experience in cloud architecture , production-grade development , and Agile workflows . You will work with cutting-edge technologies such as PySpark , DynamoDB , and Power BI , enhancing your technical skill set and preparing you for rapid career advancement. This role not only offers a competitive salary ranging from ₹8L to ₹14L LPA but also the chance to be part of a supportive and technologically advanced environment. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you are ready to take the next step in your career, apply online to join Principal Financial Group as a Data Engineer and be part of a transformative journey in the financial technology sector. Job Role & Responsibilities The role of a Data Engineer at Principal Financial Group is crucial for ensuring that data flows seamlessly through the organization, enabling data-driven decisions and insights. This position focuses on building robust data pipelines and collaborating with various teams to meet the data needs of the business. Design and implement robust data pipelines to facilitate efficient data processing and analytics, ensuring high data quality and reliability. Utilize tools such as Python , PySpark , and SQL to develop data models and ETL processes that support business intelligence initiatives. Collaborate with cross-functional teams , including data scientists and analysts, to understand data requirements and deliver solutions that meet organizational needs. Monitor and optimize data workflows, using metrics to assess performance and identify areas for improvement in data processing. Take ownership of projects from conception to deployment, ensuring timely delivery and adherence to best practices in data engineering . Document data processes and workflows clearly, providing insights and updates to stakeholders through tools like JIRA and SharePoint . Innovate and troubleshoot data-related issues, applying problem-solving skills to enhance data accessibility and usability. Participate in code reviews and contribute to the continuous improvement of data engineering practices within the team. This role embodies an ownership culture where you will have the opportunity to make significant contributions to the data landscape of Principal Financial Group , impacting decision-making and driving business success. Required Skills & Technical Competencies The ideal candidate for the Data Engineer position at Principal Financial Group should possess a strong skill profile that combines technical expertise with analytical capabilities. This blend is essential for developing effective data solutions that drive business intelligence. Technical Skills Python (Advanced) — used for developing data processing scripts and automating tasks. PySpark (Intermediate) — essential for handling large datasets and performing distributed data processing. SQL (Advanced) — required for querying databases and performing complex data manipulations. AWS (Familiarity) — utilized for deploying data solutions and managing data storage in the cloud. Azure (Familiarity) — leveraged for cloud-based data solutions and analytics. DMS (Basic) — advantageous for building and managing data workflows effectively. Glue (Basic) — helpful for ETL processes and data integration tasks. DynamoDB (Basic) — beneficial for NoSQL database management and data storage solutions. Soft Skills & Professional Competencies Analytical thinking — ability to assess data requirements and derive actionable insights. Communication skills — essential for collaborating with team members and presenting data findings clearly. Time management — crucial for managing multiple projects and meeting deadlines. Attention to detail — necessary for ensuring high data quality and reliability. Good to Have (Bonus) Power BI — experience in data visualization and reporting tools. Snowflake — familiarity with cloud data warehousing solutions. RDS (Basic) — understanding of relational database services. To effectively showcase these skills in your resume or during interviews, focus on specific projects or experiences that highlight your technical competencies and collaborative efforts in data engineering. Eligibility Criteria This role is designed for both freshers and candidates with up to 2 years of experience who are eager to grow in the field of data engineering. Candidates should be ready to contribute to the data initiatives at Principal Financial Group . Candidates must hold a degree in any field , with a preference for those with a background in computer science, engineering, or related disciplines. Eligible batches include 2023, 2024, 2025, and 2026 graduates. A minimum CGPA of 6.0 is preferred, reflecting a solid academic foundation in relevant subjects. Prior internship or hands-on project experience is a strong advantage. Familiarity with data tools and platforms will be considered a plus. Strong analytical and communication skills are essential for this role. Documentation & Portfolio Requirements Prepare a resume that highlights your relevant skills and experiences, along with any GitHub projects or portfolios that demonstrate your technical skills. Certifications related to data engineering can also enhance your application. Pro Tip: Tailor your application to emphasize your experience with data pipelines and collaboration with cross-functional teams to improve your success rate in securing an interview. Salary & Benefits 💰 Compensation ₹8L – ₹14L LPA (Estimated) The salary for the Data Engineer position at Principal Financial Group ranges from ₹8L – ₹14L LPA , reflecting the company's commitment to offering a competitive salary that aligns with industry standards. This role is designed to attract top talent and ensure that employees feel valued and rewarded for their contributions. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — attractive provident fund and pension plans to secure your future Paid Time Off — generous vacation days and sick leave to promote work-life balance Flexible Work Hours — options for remote work and flexible schedules to accommodate personal needs Performance Bonuses — annual bonuses based on individual and company performance Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowances — daily meal stipends to support your well-being during work hours Transportation Support — assistance with commuting costs to ensure ease of travel Stock Options — opportunity to own a part of the company and benefit from its growth Employee Wellness Programs — initiatives focused on mental and physical health Career Progression & Salary Growth At Principal Financial Group , employees can expect regular performance reviews that typically occur every 6 months . The company follows a structured promotion timeline, allowing for rapid career advancement based on merit and performance. Salary raises are generally in the range of 10-15% annually, ensuring that your compensation grows alongside your career. NexisGrow.com tip: When negotiating your salary, emphasize your relevant experience and any specialized skills that align with the Data Engineer role, as this can significantly impact your starting offer. Selection Process The hiring philosophy at Principal Financial Group emphasizes finding candidates who not only possess the necessary technical skills but also align with the company's culture and values. The selection process is designed to evaluate both your technical proficiency and your cultural fit within the organization. 1 Round 1: Initial Screening Interview — focusing on your resume, skills, and motivation for applying to Principal . 2 Round 2: Technical Interview — assessing your proficiency in Python , SQL , and relevant data engineering concepts. 3 Round 3: Behavioral Interview — evaluating your teamwork, problem-solving abilities, and cultural fit within the company. 4 Final Stage: Offer Discussion — includes a background check to ensure a smooth transition into your new role. What Each Round Tests In Round 1 , the focus is on your resume and your reasons for wanting to join Principal Financial Group . Round 2 dives deep into your technical skills, particularly in Python and SQL . Round 3 assesses your communication skills and how well you work in teams. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application to offer. You can expect timely communication from Principal Financial Group regarding the status of your application and next steps. Interview Prep Tip: Familiarize yourself with the STAR method (Situation, Task, Action, Result) to effectively communicate your experiences during behavioral interviews. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Engineer role at Principal Financial Group? Eligibility Tap to expand + Answer Candidates should have any graduate degree, with a preference for computer science or related fields. Eligible batches include 2023 to 2026, accommodating both freshers and those with 2-3 years of experience. ? What is the interview process for Data Engineer at Principal Financial Group? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on relevant skills, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, PySpark, SQL, AWS, and Azure, along with tools like DMS, Glue, and Snowflake for data management. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary for this position ranges from ₹8L to ₹14L LPA, with opportunities for performance bonuses and career advancement. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role offers a hybrid work model, allowing flexibility in work arrangements while maintaining team collaboration. ? What is the career growth path after joining Principal Financial Group as a Data Engineer? Growth Tap to expand + Answer Within the first 6-12 months, you can expect to take on more complex projects, with potential for promotion within 2-3 years based on performance. ? How should I prepare for the Data Engineer interview at Principal Financial Group? Preparation Tap to expand + Answer Focus on brushing up your skills in Python, SQL, and data engineering concepts, and be prepared to discuss your past projects and experiences. ? How do I apply and what documents are needed? Application Tap to expand + Answer To apply, visit the official career link and submit your resume. Highlight relevant skills and experiences in your application. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period of 3-6 months, during which your performance will be evaluated to ensure a good fit. ? What is the work culture like at Principal Financial Group? Culture Tap to expand + Answer The work culture emphasizes collaboration, diversity, and continuous learning, fostering an environment where employees can thrive and innovate. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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