AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you're passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary:
We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of large-scale data systems. The ideal candidate will drive best practices in data engineering, mentor junior team members, and ensure robust, scalable, and secure data infrastructure for advanced analytics and business needs.
Key Responsibilities:
Architect and optimize data pipelines, warehouses, and real-time processing systems.
Lead initiatives on data quality, governance, and security.
Collaborate with cross-functional teams to design scalable data solutions.
Mentor and guide junior engineers in best practices and technical design.
Evaluate and implement new tools, frameworks, and cloud technologies.
Monitor and ensure high availability, performance, and cost-efficiency of data platforms.
Role Requirements and Qualifications:
Bachelor's/Master's degree in Computer Science, Data Engineering, or related field.
6+ years of experience in data engineering or data infrastructure.
Strong expertise in SQL, Python/Java/Scala, and ETL/ELT processes.
Proven experience with big data frameworks (Spark, Hadoop, Kafka, Flink).
Deep knowledge of cloud data services (AWS, Azure, GCP) and modern warehouses (Snowflake, Redshift, BigQuery).
Hands-on with orchestration and CI/CD tools (Airflow, dbt, Kubernetes, Docker).
Strong background in data modeling, architecture, and governance.
Ability to lead projects, mentor teams, and communicate effectively with technical and non-technical stakeholders.
Why Join Us:
Work on transformative AI projects with leading global clients across industries.
Exposure to cutting-edge technologies including LLMs, RAG, automation, and cloud-native AI.
Competitive compensation, benefits, ESOPs, and opportunities for international exposure.
Strong investment in employee growth through upskilling and career development.
Open and collaborative culture with focus on innovation, transparency, and employee well-being.
How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.
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