Deloitte – Technology & Transformation Hiring (Multiple Roles) Job Referral By FLM

1.Job Title: Technology & Transformation – Engineering – Consultant / Senior Consultant – Azure Data Engineer

Desired Qualifications

• 3–12 years of hands-on experience implementing Azure Cloud data warehouses, Azure and NoSQL databases, and hybrid data scenarios

• Experience developing Azure Data Factory including Azure Functions, Logic Apps, Triggers, and Integration Runtime (IR)

• Experience working with Databricks (PySpark, Scala), Stream Analytics, Event Hub, and HDInsight components

• Experience in working on Data Lake and Data Warehouse solutions on Azure

• Experience managing Azure DevOps pipelines (CI/CD)

• Experience managing source data access security using Vault, configuring authentication and authorization, and enforcing data policies and standards

• UG: B.Tech / B.E in any specialization

• Base location: Bengaluru / Hyderabad / Pune / Delhi / Coimbatore / Bhubaneswar

2.Job Title: T&T – EAD-ADMM – Senior Consultant | GCP Data Engineer 

Desired Qualifications

• Good hands-on experience in GCP services including BigQuery, Cloud Storage, Dataflow, Cloud Dataproc, Cloud Composer / Airflow, and IAM

• Proficient experience in GCP Databases: Bigtable, Spanner, Cloud SQL, and AlloyDB

• Proficiency in SQL, Python, Java, or Scala for data processing and scripting

• Experience in development and test automation processes through CI/CD pipelines using Git, Jenkins, SonarQube, Artifactory, and Docker containers

• Experience orchestrating data processing tasks using Cloud Composer or Apache Airflow

• Strong understanding of data modeling, data warehousing, and big data processing concepts

• Solid experience with relational databases such as SQL, MySQL, PostgreSQL, or Oracle

• Ability to design and implement data migration strategies for PostgreSQL, Oracle, AlloyDB, etc.

• Deep understanding of at least one database with the ability to write complex SQL queries

• Experience with NoSQL databases like MongoDB, Scylla, Cassandra, or DynamoDB is a plus

• Ability to optimize data pipelines for performance and cost-efficiency following GCP best practices

• Experience implementing data quality checks, validation, and monitoring mechanisms

• Ability to collaborate with data scientists, analysts, and business stakeholders

• Ability to work independently and manage multiple priorities

• Preferably having expertise in end-to-end Data Warehouse implementation

• Base location: Bangalore, Mumbai, Pune, Hyderabad

3.Job Title: T&T | Engineering | Power BI

Work You’ll Do

• Build and maintain positive working relationships with teams and clients

• Experience with Power BI Desktop, Data Modeling, Power Query, advanced data connectivity, and monitoring

• Develop visual reports, KPI scorecards, and dashboards using Power BI Desktop

• Write DAX queries

• Build analytics tools that provide actionable insights into operational efficiency and business performance metrics

• Work with stakeholders to resolve data-related technical issues and support data infrastructure needs

Your Role as a Leader

• Develop high-performing people and teams through meaningful opportunities

• Deliver exceptional client service and drive high performance while fostering collaboration

• Influence clients, teams, and individuals positively by leading through example

• Understand key objectives for clients and Deloitte and align people accordingly

• Act as a role model by embracing Deloitte’s purpose and values

4.Job Title: Technology and Transformation – EAD-MS – Consultant – AWS Data Engineer

Responsibilities

• Design, build, and maintain scalable data pipelines on AWS

• Develop ETL/ELT workflows using AWS services like Glue, Lambda, EMR, and Step Functions

• Work with data ingestion frameworks using Kinesis, Kafka, or SQS

• Build and optimize data lakes using S3, Glue Catalog, and Lake Formation

• Work with Redshift and Snowflake for data warehousing solutions

• Implement data quality checks, monitoring, logging, and CI/CD deployments

• Collaborate with analytics and business teams to deliver high-quality datasets

Skills Required

• Strong hands-on experience with AWS Glue, S3, Lambda, IAM, and Step Functions

• Proficiency in Python (PySpark), SQL, and data transformation logic

• Experience with Redshift, Athena, and Glue Data Catalog

• Knowledge of Spark and distributed data processing

• Familiarity with Terraform or CloudFormation is a plus

• Strong understanding of data modeling, data lake principles, and best practices

• Base location: Pune, Bangalore, Hyderabad, Bhubaneswar, Chennai, Coimbatore

5.Job Title: T&T | Engineering | Databricks + PySpark

Mandatory Skills

• Databricks

• Spark

• Python / SQL

Responsibilities

• Design, develop, and optimize data workflows using Databricks to ingest, transform, and load data

• Build scalable and efficient data processing workflows using Spark (PySpark or Spark SQL)

• Collaborate with technical and business stakeholders to understand data requirements

• Develop data models and schemas for reporting and analytics

• Ensure data quality, integrity, and security through appropriate controls

• Monitor and optimize data processing performance and resolve bottlenecks

• Stay updated with advancements in data engineering and Databricks technologies

Qualifications

• Bachelor’s or Master’s degree in any field

• Experience designing and maintaining data solutions on Databricks

• Experience with at least one cloud platform: Azure, AWS, or GCP

• Experience with ETL and ELT processes

• Knowledge of data warehousing and data modeling concepts

• Experience with Python or SQL

• Experience with Delta Lake

• Understanding of DevOps principles and practices

• Strong problem-solving, troubleshooting, communication, and teamwork skills

NOTE: We will be sharing your details with an Deloitte employee, He will refer you for the opportunity

  If you fit any of these roles, don’t miss this opportunity!

Cheers 🥂

Frontlines Media (FLM)