About Markovate
At Markovate, we don't just follow trends—we drive them. We transform businesses through innovative AI and digital solutions that turn vision into reality. Our team harnesses breakthrough technologies to craft bespoke strategies that align seamlessly with our clients ambitions. From AI consulting and Gen AI development to pioneering AI agents and agentic AI, we empower our partners to lead their industries with forward-thinking precision and unmatched expertise.
Job Overview
We are seeking a highly experienced and innovative Senior Data Engineer with a strong background in hybrid cloud data integration, pipeline orchestration, and AI-driven data modelling. This role is responsible for designing, building, and optimizing robust, scalable, and production-ready data pipelines across both AWS and Azure platforms, supporting modern data architectures such as CEDM and Data Vault 2.0.
Candidate Requirements:
- 9+ years of experience in data engineering and data architecture
- Excellent communication and interpersonal skills, with the ability to engage with teams.
- Strong problem-solving, decision-making, and conflict-resolution abilities.
- Proven ability to work independently and lead cross-functional teams. Ability to work in a fast-paced, dynamic environment and handle sensitive issues with discretion and professionalism.
- Ability to maintain confidentiality and handle sensitive information with attention to detail with discretion.
- The candidate must have strong work ethics and trustworthiness
- Must be highly collaborative and team oriented with commitment to excellence
Job Responsibilities:
- Build and manage ETL/ELT pipelines using AWS Glue and Azure Data Factory.
- Work with data from S3, ADLS Gen2; perform schema validation and profiling.
- Orchestrate workflows using Step Functions and Airflow.
- Develop layered data models (bronze silver gold) with DBT/Coalesce.
- Ingest data via Airbyte, Rivery, and Transfer Family.
- Ensure data quality and governance using Great Expectations, Unity Catalog, and OpenMetadata.
- Collaborate with QA, data scientists, and stakeholders to support AI/ML use cases.
- Use tools like Databricks (PySpark), Python, GitHub, Terraform, and CloudWatch for development, CI/CD, and monitoring.
Good to have:
- Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data and AI services.
- Knowledge of ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica).
- Deep understanding of AI/Generative AI concepts and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs).
- Experience with data modeling, data structures, and database design.
- Proficiency with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
- Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka).
- Proficiency in SQL and at least one programming language (e.g., Python, Scala).
What it's like to be at Markovate:
- At Markovate, we thrive on collaboration and embrace every innovative idea.
- We invest in continuous learning to keep our team ahead in the AI/ML landscape.
- Transparent communication is key—every voice at Markovate is valued.
- Our agile, data-driven approach transforms challenges into opportunities.
- We offer flexible work arrangements that empower creativity and balance.
- Recognition is part of our DNA—your achievements drive our success.
- Markovate is committed to sustainable practices and positive community impact.
- Our people-first culture means your growth and well-being are central to our mission
Location : hybrid model – 2 days onsite.
