Graphic Design internship

• System Administration: 3+ years managing Adobe Workfront configuration, including custom forms, dashboards, and user permissions.
• Workflow Optimization: Proven ability to streamline marketing processes by building and optimizing automated workflows, templates, and reporting.
• Integration Support: Experience configuring Workfront Fusion and integrating Workfront with external tools.
• Cross-functional Collaboration: Ability to translate stakeholder business requirements into technical solutions for marketing operation efficiency.
• Platform Expertise: Deep knowledge of Oracle Eloqua campaign execution, segmentation, and data management is a strong plus.

Required Skills: Strong SQL Expertise, Data Reporting & Analytics, Database Development, Stakeholder & Client Communication, Independent Problem-Solving & Automation Skills

Review Criteria

· Must have Strong SQL skills (queries, optimization, procedures, triggers)

· Must have Advanced Excel skills

· Should have 3+ years of relevant experience

· Should have Reporting + dashboard creation experience

· Should have Database development & maintenance experience

· Must have Strong communication for client interactions

· Should have Ability to work independently

· Willingness to work from client locations.

Description

Who is an ideal fit for us?

We seek professionals who are analytical, demonstrate self-motivation, exhibit a proactive mindset, and possess a strong sense of responsibility and ownership in their work.

What will you get to work on?

As a member of the Implementation & Analytics team, you will:

● Design, develop, and optimize complex SQL queries to extract, transform, and analyze data

● Create advanced reports and dashboards using SQL, stored procedures, and other reporting tools

● Develop and maintain database structures, stored procedures, functions, and triggers

● Optimize database performance by tuning SQL queries, and indexing to handle large datasets efficiently

● Collaborate with business stakeholders and analysts to understand analytics requirements

● Automate data extraction, transformation, and reporting processes to improve efficiency

What do we expect from you?

For the SQL/Oracle Developer role, we are seeking candidates with the following skills and Expertise:

● Proficiency in SQL (Window functions, stored procedures) and MS Excel (advanced Excel skills)

● More than 3 plus years of relevant experience

● Java / Python experience is a plus but not mandatory

● Strong communication skills to interact with customers to understand their requirements

● Capable of working independently with minimal guidance, showcasing self-reliance and initiative

● Previous experience in automation projects is preferred

● Work From Office: Bangalore/Navi Mumbai/Pune/Client locations

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Key Responsibilities:

🔹 People Strategy & Culture

● Drive a high-performance, inclusive, and feedback-driven culture.

● Be a culture champion — align core values across leadership, teams, and processes.

● Design and lead internal communication and engagement strategies.

● Own and evolve the employee lifecycle experience (onboarding, engagement, retention, and exit).

🔹 HR Policies & Compliance

● Develop and implement HR policies, frameworks, and handbooks aligned with startup agility and

compliance.

● Ensure legal and ethical compliance across all HR practices and policies.

🔹 Performance Management

● Own the performance management cycle (KPI/KRA setting, quarterly reviews, feedback sessions).

● Build and implement systems to track individual and team performance.

● Introduce modern and startup-friendly approaches to appraisal and career progression.

🔹 Organizational Development & Change Management

● Lead org design, change management, and restructure initiatives during scaling or pivots.

● Support teams through transitions while preserving employee morale and clarity.

🔹 Leadership & Capability Building

● Partner with leadership on people strategy, succession planning, and team development.

● Design learning and development (L&D) initiatives focused on leadership, resilience, and growth.

● Coach mid and senior-level leaders on people and team dynamics.

Requirements

● 10+ years of experience in People & Culture/HR roles Female candidate is preferred, with at least 5+ years in startup or high-growth environments.

● Proven experience in building or revamping HR systems from scratch.

● Deep understanding of startup dynamics, team scaling, and people operations.

● Strong experience with culture design, performance systems (KPI/KRA), and leadership alignment.

● Demonstrated success in managing org-wide change management initiatives.

● Excellent communication, stakeholder management, and problem-solving skills.

● Bachelor's/Master’s degree in HR, Organizational Psychology, or related fields.

• Drafting, reviewing and negotiating of customer/subcontractor agreements in a wide range of industrie.
• Extensive experience with vetting, drafting and negotiating master service agreements, subcontractor, non-disclosure agreements, statement of works, change orders etc.
• Well versed in local commercial and corporate law with global outlook.
• Collaborate with various business functions in connection with driving deal negotiations.
• Post signing contract management, including amendments to existing contracts, business team support and counsel
• Train the other legal team members on negotiation/drafting skills
• Managing, mentoring and leading team members.

• 8+ years of law firm experience with a mid to large size law firm or IT company or similar industry with a focus on general corporate law. An understanding of IT and IT sourcing contracts a plus
• Strong knowledge and experience in negotiating high value commercial contracts. Candidate should possess experience in handling international clients and exposed to international laws

ob Description

Work Location : India/Remote 

Work Timing : 6:00 PM 3:00 AM IST (US Shift)

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.

• Responding to escalated customer issues from L1 Customer Support Specialists.
• Excellent communication skills, especially related to relaying information between technical and non-technical parties
• Working closely with support and Level 3 teams.
• Building a deep technical knowledge of our product capabilities for both the front and back end.
• Escalating issues when required according to defined escalation paths.
• Maintaining a high level of professionalism with internal teams and customers and working to establish a positive rapport.
• Participation in standard product management processes (grooming sessions, stand-ups, etc. ) related to the resolution of customer-facing issues
• Work continuously to document product and technical knowledge.
• Responsible for driving L2 and L3 cases to closure meeting "case to closure" and "customer satisfaction" deliverables