Senior Data Engineer
Senior Data Engineer
acs international india pvt. ltd. (acsii)Early Applicant
- Posted 2 months ago
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Job Description
Position: Senior Data Engineer
Location: Pune
Job Responsibilities
Location: Pune
Job Responsibilities
- Design, develop, and maintain scalable data pipelines using AWS services.
- Design and implement scalable, secure, and resilient MLOps architecture across cloud and on-prem environments
- Define best practices for model lifecycle management, including versioning, deployment, monitoring, and governance
- Lead the selection and integration of tools for CI/CD, model registry, feature store, and data pipelines
- Automate workflows for data ingestion, preprocessing, training, validation, and deployment
- Establish monitoring and alerting systems for model performance, data drift, and infrastructure health
- Ensure reproducibility, traceability, and compliance with regulatory standards
- Work closely with data scientists, data engineers, software developers, and DevOps teams
- Mentor junior engineers and promote a culture of continuous learning and innovation
- Translate business requirements into scalable AI/ML solutions
- Evaluate emerging technologies and frameworks to enhance MLOps capabilities
- Strong, hands-on experience in data engineering — pipelines, cloud infrastructure, data architecture, and production-grade deployments
- Demonstrated experience with cloud platforms (AWS required; Azure and/or GCP a strong plus)
- Comfort working in AI and agentic AI contexts — experience with LLM infrastructure, agent frameworks, evaluation pipelines, or observability tooling is highly valued
- Proficiency in Python and modern data/ML engineering tooling
- Experience with CI/CD practices, containerization, and DevOps principles applied to data and AI systems
- Ability to operate across the full stack — from raw data through model serving infrastructure
- 7+ years of progressive data engineering experience, with demonstrated growth in scope and technical ownership.
- Track record of leading technical projects or workstreams, not just executing within them.
- Experience in distributed or global team environments is a plus
More Info
Key Skills
About Company
Skills:
Apache Airflow, Pyspark, Spark, Databricks, Azure, Python, Sql, Fabric, ETL pipelines
Skills:
Apache Airflow, Github, Pyspark, Spark, Azure Databricks, Azure Storage, Python, CodeQL, Cycode
Skills:
data engineering , snowflake , Apis, Power Bi, Json, Sql, Apache Airflow, Git, Azure Data Factory, Xml, Python, AWS, ELT, Etl, Matillion, dbt, Fivetran
Skills:
snowflake , Data Modelling, Power Bi, Tableau, Redshift, Sql, ELT, Database Design, Azure Data Factory, Postgres, Databricks, Python, Etl, Aws S3
Skills:
Apache Airflow, Pandas, PostgreSQL, Elasticsearch, Apache Spark, Kafka, Python, Polars, NoSQL databases, OpenSearch