11+ MIPI Jobs in Hyderabad | MIPI Job openings in Hyderabad

alog Circuit Design::

• The candidate should have B.Tech or M.Tech in Electronics/Electrical/VLSI Design Engineering
• The candidate should have relevant work experience of 7-16 years in Analog and SERDES IO IP design e.g. GPIOs, Thermal Sensor, PLL, ADC/DAC/ Voltage regulators/LDOs, AIB, HBMIO, DDR, HDMI/DP IO, MIPI IO etc.

Note-“Urgently Hiring – Immediate Joiners Preferred”

Data Engineering

Role & Responsibilities

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP/BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or dbt to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate

• Strong Data Engineer Profile
• Mandatory (Experience 1) – Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Mandatory (Experience 2) – Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Mandatory (Experience 3) – Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Mandatory (Experience 4) – Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Mandatory (Core Skill 1) – Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Mandatory (Core Skill 2) – Must have programming experience in Python and/or SQL for data processing.
• Mandatory (Core Skill 3) – Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Preferred (Experience 1) – Exposure to data migration projects and/or data mesh architecture concepts.
• Preferred (Skill 1) – Experience with Spark/PySpark or large-scale data processing frameworks.
• Preferred (Company) – Experience working in product-based companies or data-driven environments.
• Preferred (Education) – Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

.

REQUIREMENT:

Location: Hyderabad

Position/Designation: Planning & QS Engineer

Project details : 110no of Triplex Villas. (Total Built up Area is3.35 Lakhs SFT)

New Requirement

Reporting To: Project Manager

JOB PROFILE:

Education: BE Civil

Experience: Years : 6 to 8 years

Area: Strong QS & Billing knowledge with an exposure to

Planning

Key Skills:

1)Planning

    Prepare master project schedule

    Keep project team updated on the progress versus timelines

    Tracking all schedules weekly

    Identify actual and potential slippages and prepare recovery plans

2)Document Control

    Maintain records for all documents pertaining to the site – drawing transmittals, DBR, MOM, approvals etc

    Organize and conduct review meetings

    Preparing & circulating weekly & monthly progress report

3)QS &Billing

    Valuation of works done periodically and certification of all vendor bills

    Track cost variation in order value

    Monitor basic price of various materials and track budgets

    Monitor and report cost performance through Earned Value

Other Skills: 

4) Good Communication Skills

 Must have experience in Residential Projects

 High end Villas development projects preferred

Role: SAP EAM Mobility Consultant / Lead

Experience: 6+ Years

Required Skills & Keywords:

SAP EAM / PM, SAP Mobility, Enterprise Asset Management

Managing Technical Objects: Equipment, Functional Locations, BOMs, Installed Base

Work Order Management, Notifications, Preventive Maintenance

Task Lists, Maintenance Items, Maintenance Plans

Measurement Points, Warranties, Serial Numbers

Capacity Requirements Planning, Work Clearance Management

Workflow in SAP EAM & PM, Standard Reports

Functional Specifications, TDD, Unit Testing, Integration Testing

SAP Support Projects, User Support, Incident & Escalation Management

Client Interaction, Status Reporting, Onsite–Offshore Coordination

Exposure to ASAP, ITIL, Solution Manager\

Preferred:

SAP PM Certification | ITIL 4 Foundation

Basic ABAP knowledge

#SAPEAM #SAPPM #SAPMobility #SAPConsultant #EnterpriseAssetManagement

#PreventiveMaintenance #WorkOrderManagement #SAPJobs #HiringNow #Hyderabad #Bengaluru

Google Data Engineer - SSE

Position Description

Google Cloud Data Engineer

Notice Period: Immediate to 30 days serving

Job Description:

We are seeking a highly skilled Data Engineer with extensive experience in Google Cloud Platform (GCP) data services and big data technologies. The ideal candidate will be responsible for designing, implementing, and optimizing scalable data solutions while ensuring high performance, reliability, and security.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures using GCP data services.

• Implement and optimize solutions using BigQuery, Dataproc, Composer, Pub/Sub, Dataflow, GCS, and BigTable.

• Work with GCP databases such as Bigtable, Spanner, CloudSQL, AlloyDB, ensuring performance, security, and availability.

• Develop and manage data processing workflows using Apache Spark, Hadoop, Hive, Kafka, and other Big Data technologies.

• Ensure data governance and security using Dataplex, Data Catalog, and other GCP governance tooling.

• Collaborate with DevOps teams to build CI/CD pipelines for data workloads using Cloud Build, Artifact Registry, and Terraform.

• Optimize query performance and data storage across structured and unstructured datasets.

• Design and implement streaming data solutions using Pub/Sub, Kafka, or equivalent technologies.

Required Skills & Qualifications:

• 8-15 years of experience

• Strong expertise in GCP Dataflow, Pub/Sub, Cloud Composer, Cloud Workflow, BigQuery, Cloud Run, Cloud Build.

• Proficiency in Python and Java, with hands-on experience in data processing and ETL pipelines.

• In-depth knowledge of relational databases (SQL, MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Scylla, Cassandra, DynamoDB).

• Experience with Big Data platforms such as Cloudera, Hortonworks, MapR, Azure HDInsight, IBM Open Platform.

• Strong understanding of AWS Data services such as Redshift, RDS, Athena, SQS/Kinesis.

• Familiarity with data formats such as Avro, ORC, Parquet.

• Experience handling large-scale data migrations and implementing data lake architectures.

• Expertise in data modeling, data warehousing, and distributed data processing frameworks.

• Deep understanding of data formats such as Avro, ORC, Parquet.

• Certification in GCP Data Engineering Certification or equivalent.

Good to Have:

• Experience in BigQuery, Presto, or equivalent.

• Exposure to Hadoop, Spark, Oozie, HBase.

• Understanding of cloud database migration strategies.

• Knowledge of GCP data governance and security best practices.

Roles and Responsibilities :