Mumbai Tech Week's job fair brings together 30+ leading tech and AI companies hiring across engineering roles. Companies at this event are looking for data engineers who can design and operate large-scale data pipelines, architect cloud-native data platforms, and deliver reliable, production-grade systems that power dashboards, ML models, and customer-facing products.

You'll work across batch and (increasingly) streaming systems, integrate with a wide variety of source systems, and ship pipelines that the business and in some cases, India's largest banks and Fortune 500 enterprises rely on every day.

What You'll Do :

- Design, build, and operate scalable batch and real-time data pipelines using Airflow and cloud-native orchestrators (Azure Data Factory, Composer, Step Functions)

- Ingest data from diverse source systems APIs, SFTP drops, file-based handoffs (CSV, fixed-width, JSON, Excel), direct DB pulls, and streaming events

- Architect and manage data lakes and warehouses on cloud platforms (ADLS, S3, BigQuery, Synapse, Redshift, Snowflake, ClickHouse)

- Develop ETL/ELT workflows using Python, PySpark, SQL, and Spark/Databricks for high-volume, high-velocity workloads

- Implement data quality frameworks, monitoring, alerting, SLAs, and governance to ensure idempotent, reliable pipelines

- Tune SQL queries, partitioning, indexing, and pipeline performance across OLTP and OLAP stores

- Partner with analytics, data science, and product teams to power BI dashboards, ML feature pipelines, and

product features that depend on fresh data

- Contribute to architecture decisions, code reviews, documentation, and engineering best practices across the data platform

What We're Looking For :

- 3- 9 years of data engineering experience with production pipelines you can talk about in detail

- Strong Python (including PySpark) clean, testable code; comfortable building, debugging, and refactoring DAGs

- Strong SQL complex transformations, window functions, and query performance tuning

- Hands-on Airflow or equivalent orchestrators DAG design, sensors, hooks, custom operators, retries, idempotency

- Solid grasp of ETL/ELT patterns incremental loads, CDC, late-arriving data, slowly changing dimensions, reconciliation

- Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services

Azure Data Factory, Databricks, ADLS, Synapse; or Glue, EMR, Redshift, S3; or Dataflow, Dataproc, BigQuery, Pub/Sub

- Working knowledge of OLAP databases ClickHouse, BigQuery, Synapse, Redshift, or Snowflake

- Strong understanding of data modeling (relational and dimensional), partitioning, and big data technologies

- Bias to reliability you treat pipelines as production software, not scripts

- Comfort with ambiguity and source system diversity; you build flexible, resilient ingestion without over engineering

- Nice to have : streaming exposure (Kafka, Flink, Debezium), dbt or similar transformation tooling, BFSI/regulated-industry data experience, cloud certifications, and familiarity with PII handling and data security practices

Skills And Tools :

- Python

- PySpark

- SQL

- Airflow

- Spark Databricks

- Azure Data Factory

- ADLS Synapse

- BigQuery

- Redshift

- Snowflake

- ClickHouse

- PostgreSQL

- Kafka dbt

- AWS

- Azure

- GCP

ABOUT MUMBAI TECH WEEK :

Mumbai Tech Week is Mumbai's flagship AI festival, two days, one city, 10,000+ founders, builders and investors. Presented by TEAM (Tech Entrepreneurs Association of Mumbai). This year's edition takes place on 29-30 May at Jio World, Mumbai.