At Accellor, we are a trusted consultant that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and retail verticals.
We’ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy, and delegation – we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated – focused on building the perfect solution but never losing sight of the bigger picture.
As a Lead Data Engineer specializing in Snowflake and Databricks, you will be responsible for designing, developing, and delivering data engineering solutions using modern cloud data platforms. The candidate should have strong expertise in the data lifecycle, including data ingestion, transformation, and modeling, as well as experience with distributed data processing, data security, and integration with internal and external data sources. Additionally, the candidate should be proficient in leveraging best practices in data architecture and performance optimization. The role also requires the ability to drive end-to-end project delivery aligned with business objectives and ensure the realization of data-driven value.
Responsibilities:
- Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence and deployment infrastructure diagrams.
- Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects.
- Experience with gathering end user requirements and writing technical documentation.
- Suggest innovative solutions based on new technologies and latest trends.
- Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution.
- Work closely with client teams to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business.
- 10-15 years of experience working with Snowflake/Databricks in a data engineering or architecture role.
- Familiarity with programming languages such as Python, Java, or Scala for data processing and automation.
- Strong expertise in SQL, data modeling and advanced query optimization techniques.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their integration with Snowflake.
- Proficiency in ETL/ELT tools such as ADF, Fabric, etc.
- Experience with data visualization tools like Tableau, Power BI, or Looker.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work in a fast-paced, dynamic environment.
- Certification in Databricks is added advantage
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global canters.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Disclaimer:
Accellor is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.
